A Catalog of AI Services
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AI Services
- 1: Alibaba
- 1.1: Intelligent Speech Interaction
- 1.2: Machine Learning Platform for AI
- 1.3: Machine Translation
- 1.4: Image Search
- 1.5:
- 1.6:
- 1.7:
- 1.8:
- 2: AWS
- 2.1: Amazon Augmented AI
- 2.2: Amazon CodeGuru
- 2.3: Amazon Comprehend
- 2.4: Amazon DevOps Guru
- 2.5: Amazon Elastic Inference
- 2.6: Amazon Forecast
- 2.7: Amazon Fraud Detector
- 2.8: Amazon HealthLake
- 2.9: Amazon Kendra
- 2.10: Amazon Lex
- 2.11: Amazon Lookout for Equipment
- 2.12: Amazon Lookout for Metrics
- 2.13: Amazon Lookout for Vision
- 2.14: Amazon Monitron
- 2.15: Amazon Personalize
- 2.16: Amazon Polly
- 2.17: Amazon Rekognition
- 2.18: Amazon SageMaker Ground Truth
- 2.19: Amazon SageMaker
- 2.20: Amazon Textract
- 2.21: Amazon Transcribe
- 2.22: Amazon Translate
- 2.23: Apache MXNet on AWS
- 2.24: AWS Deep Learning AMIs
- 2.25: AWS DeepComposer
- 2.26: AWS DeepLens
- 2.27: AWS DeepRacer
- 2.28: AWS Inferentia
- 2.29: AWS Panorama
- 2.30: TensorFlow on AWS
- 2.31:
- 2.32:
- 2.33:
- 2.34:
- 2.35:
- 2.36:
- 2.37:
- 2.38:
- 2.39:
- 2.40:
- 2.41:
- 2.42:
- 2.43:
- 2.44:
- 2.45:
- 2.46:
- 2.47:
- 2.48:
- 2.49:
- 2.50:
- 2.51:
- 2.52:
- 2.53:
- 2.54:
- 2.55:
- 2.56:
- 2.57:
- 2.58:
- 2.59:
- 2.60:
- 3: AWS
- 3.1: Oracle Anomaly Detection
- 3.2: Oracle Data Labeling
- 3.3: Oracle Speech
- 3.4: Oracle Vision
- 3.5:
- 3.6:
- 3.7:
- 3.8:
- 3.9:
- 3.10: Oracle Digital Assistant
- 4: Azure
- 4.1:
- 4.2:
- 4.3:
- 4.4:
- 4.5:
- 4.6:
- 4.7:
- 4.8: Applied AI Services
- 4.9: Azure Machine Learning
- 4.10: Bot Services
- 4.11: Cognitive Search
- 4.12: Cognitive Services
- 4.13: Microsoft Genomics
- 4.14: Project Bonsai
- 5: Google
- 5.1:
- 5.2:
- 5.3:
- 5.4:
- 5.5:
- 5.6: AutoML image
- 5.7: AutoML Tabular
- 5.8: AutoML text
- 5.9: AutoML translation
- 5.10: Vertex AI
- 6: IBM
- 6.1:
- 6.2:
- 6.3:
- 6.4:
- 6.5:
- 6.6:
- 6.7:
- 6.8:
- 6.9:
- 6.10:
- 6.11:
- 6.12:
- 6.13:
- 6.14:
- 6.15:
- 6.16: Communication Monitoring
- 6.17: Ibm Match 360 With Watson
- 6.18: Knowledge Studio
- 6.19: Language Translator
- 6.20: Machine Learning
- 6.21: Natural Language Understanding
- 6.22: Speech To Text
- 6.23: Statum Kpi
- 6.24: Text To Speech
- 6.25: Tone Analyzer
- 6.26: Watson Assistant
- 6.27: Watson Discovery
- 6.28: Watson Knowledge Catalog
- 6.29: Watson Openscale
- 6.30: Watson Studio
- 7: Oracle
- 7.1: SAP AI Core
- 7.2: SAP AI Launchpad
- 7.3: SAP Business Entity Recognition
- 7.4: SAP Conversational AI
- 7.5: SAP Document Classification
- 7.6:
- 7.7:
- 7.8:
- 7.9:
- 7.10:
1 - Alibaba
TBD
1.1 - Intelligent Speech Interaction
Intelligent Speech Interaction is developed based on state-of-the-art technologies such as speech recognition, speech synthesis, and natural language understanding. Enterprises can integrate Intelligent Speech Interaction into their products to enable them to listen, understand, and converse with users, providing users with an immersive human-computer interaction experience. Intelligent Speech Interaction is currently available in Mandarin Chinese, Cantonese Chinese, English, Japanese, Korean, French and Indonesian, and please stay tuned for other languages.
Description
Intelligent Speech Interaction is developed based on state-of-the-art technologies such as speech recognition, speech synthesis, and natural language understanding. Enterprises can integrate Intelligent Speech Interaction into their products to enable them to listen, understand, and converse with users, providing users with an immersive human-computer interaction experience. Intelligent Speech Interaction is currently available in Mandarin Chinese, Cantonese Chinese, English, Japanese, Korean, French and Indonesian, and please stay tuned for other languages.
Version
unknown
Documentation
https://www.alibabacloud.com/help/en/doc-detail/158269.html
SLA
https://www.alibabacloud.com/help/en/doc-detail/152143.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
Data
Alibaba’s data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.2 - Machine Learning Platform for AI
Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning Platform for AI combines all of these services to make AI more accessible than ever.
Description
Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning Platform for AI combines all of these services to make AI more accessible than ever.
Version
unknown
Documentation
https://www.alibabacloud.com/help/en/product/30347.htm
SLA
https://www.alibabacloud.com/help/en/doc-detail/155117.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
Data
Alibaba’s data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.3 - Machine Translation
Levering its leading natural language processing technology and massive e-commerce data, Alibaba Translate has developed a deep neural network translation (NMT) system based on the attention mechanism. At present, the system has been widely used in various e-commerce-linked services for basic data fields, including SEO, searches, product titles, product details, product comments, instant messaging, and risk control. Alibaba Translate helps resolve all language barriers for global websites and software. In addition to tiered discounts, buyers of resource packages now can invoke the system to translate 1 million characters free of charge each month.
Description
Levering its leading natural language processing technology and massive e-commerce data, Alibaba Translate has developed a deep neural network translation (NMT) system based on the attention mechanism. At present, the system has been widely used in various e-commerce-linked services for basic data fields, including SEO, searches, product titles, product details, product comments, instant messaging, and risk control. Alibaba Translate helps resolve all language barriers for global websites and software. In addition to tiered discounts, buyers of resource packages now can invoke the system to translate 1 million characters free of charge each month.
Version
unknown
Documentation
https://www.alibabacloud.com/help/en/product/30396.htm
SLA
https://www.alibabacloud.com/help/en/doc-detail/159763.html
Data
Alibaba’s data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.4 - Image Search
Image Search allows your users to search by image based on image similarities. Image Search uses deep learning and machine vision to capture characteristics of images and then search for images based on the captured information.
Description
Image Search allows your users to search by image based on image similarities. Image Search uses deep learning and machine vision to capture characteristics of images and then search for images based on the captured information.
Version
unknown
Documentation
https://www.alibabacloud.com/help/en/doc-detail/66567.htm
SLA
https://www.alibabacloud.com/help/en/doc-detail/85212.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
Data
Alibaba’s data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.5 -
Image Search
* Author: Alibaba
* Version: unknown
* Modified: 2020-03-01
* Created: 2018-03-01
* <https://www.alibabacloud.com/help/en/doc-detail/66567.htm>
* Tags: AI, Image search
* Categories: AI
## Description
Image Search allows your users to search by image based on image similarities.
Image Search uses deep learning and machine vision to capture characteristics of images and then search for images based on the captured information.
## SLA
https://www.alibabacloud.com/help/en/doc-detail/85212.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
## Data
Alibaba's data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.6 -
Intelligent Speech Interaction
* Author: Alibaba
* Version: unknown
* Modified: 2022-02-09
* Created: 2020-06-18
* <https://www.alibabacloud.com/help/en/doc-detail/158269.html>
* Tags: AI, speech recognition
* Categories: AI
## Description
Intelligent Speech Interaction is developed based on state-of-the-art technologies
such as speech recognition, speech synthesis, and natural language understanding. Enterprises can integrate Intelligent Speech Interaction into their products to enable them to listen, understand, and converse with users, providing users with an immersive human-computer interaction experience. Intelligent Speech Interaction is currently available in Mandarin Chinese, Cantonese Chinese, English, Japanese, Korean, French and Indonesian, and please stay tuned for other languages.
## SLA
https://www.alibabacloud.com/help/en/doc-detail/152143.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
## Data
Alibaba's data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.7 -
Machine Learning Platform for AI
- Author: Alibaba
- Version: unknown
- Modified: 2021-07-29
- Created: 2020-07-22
- https://www.alibabacloud.com/help/en/product/30347.htm
- Tags: AI, ML, Data processing
- Categories: AI, ML
Description
Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning Platform for AI combines all of these services to make AI more accessible than ever.
SLA
https://www.alibabacloud.com/help/en/doc-detail/155117.html?spm=a2c63.p38356.0.0.41fa62f9pCAHjX
Data
Alibaba’s data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
1.8 -
Machine Translation
* Author: Alibaba
* Version: unknown
* Modified: 2020-12-22
* Created: 2020-12-22
* <https://www.alibabacloud.com/help/en/product/30396.htm>
* Tags: ML, Translation services
* Categories: ML
## Description
Levering its leading natural language processing technology and massive e-commerce
data, Alibaba Translate has developed a deep neural network translation (NMT) system based on the attention mechanism. At present, the system has been widely used in various e-commerce-linked services for basic data fields, including SEO, searches, product titles, product details, product comments, instant messaging, and risk control. Alibaba Translate helps resolve all language barriers for global websites and software. In addition to tiered discounts, buyers of resource packages now can invoke the system to translate 1 million characters free of charge each month.
## SLA
https://www.alibabacloud.com/help/en/doc-detail/159763.html
## Data
Alibaba's data usage policies can be found at https://www.alibabacloud.com/help/en/doc-detail/42425.html
2 - AWS
TBD
2.1 - Amazon Augmented AI
Amazon Augmented AI (Amazon A2I) is a machine learning service which makes it easy to build the workflows required for human review.
Description
Amazon Augmented AI (Amazon A2I) is a machine learning service which makes it easy to build the workflows required for human review.
Version
unkown
Documentation
https://aws.amazon.com/augmented-ai
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.2 - Amazon CodeGuru
Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code.
Description
Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code.
Version
unkown
Documentation
https://aws.amazon.com/codeguru
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.3 - Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
Description
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
Version
unkown
Documentation
https://aws.amazon.com/comprehend
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.4 - Amazon DevOps Guru
Amazon DevOps Guru is a Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability. DevOps Guru detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.
Description
Amazon DevOps Guru is a Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability. DevOps Guru detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.
Version
unkown
Documentation
https://aws.amazon.com/devops-guru
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.5 - Amazon Elastic Inference
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%.
Description
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%.
Version
unkown
Documentation
https://aws.amazon.com/machine-learning/elastic-inference/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.6 - Amazon Forecast
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Description
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Version
unkown
Documentation
https://aws.amazon.com/forecast/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.7 - Amazon Fraud Detector
Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster.
Description
Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster.
Version
unkown
Documentation
https://aws.amazon.com/fraud-detector
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.8 - Amazon HealthLake
Amazon HealthLake is a HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data.
Description
Amazon HealthLake is a HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data.
Version
unkown
Documentation
https://aws.amazon.com/healthlake
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.9 - Amazon Kendra
Amazon Kendra is an intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization.
Description
Amazon Kendra is an intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization.
Version
unkown
Documentation
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.10 - Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Description
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Version
unkown
Documentation
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.11 - Amazon Lookout for Equipment
Amazon Lookout for Equipment analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment \u2013 with no ML expertise required.
Description
Amazon Lookout for Equipment analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment \u2013 with no ML expertise required.
Version
unkown
Documentation
https://aws.amazon.com/lookout-for-equipment
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.12 - Amazon Lookout for Metrics
Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates.
Description
Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates.
Version
unkown
Documentation
https://aws.amazon.com/lookout-for-metrics
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.13 - Amazon Lookout for Vision
Amazon Lookout for Vision is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV).
Description
Amazon Lookout for Vision is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV).
Version
unkown
Documentation
https://aws.amazon.com/lookout-for-vision
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.14 - Amazon Monitron
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned downtime.
Description
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned downtime.
Version
unkown
Documentation
https://aws.amazon.com/monitron
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.15 - Amazon Personalize
Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
Description
Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
Version
unkown
Documentation
https://aws.amazon.com/personalize/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.16 - Amazon Polly
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Description
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Version
unkown
Documentation
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.17 - Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
Description
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
Version
unkown
Documentation
https://aws.amazon.com/rekognition
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.18 - Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
Description
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
Version
unkown
Documentation
https://aws.amazon.com/sagemaker/groundtruth
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.19 - Amazon SageMaker
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Description
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Version
unkown
Documentation
https://aws.amazon.com/sagemaker
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.20 - Amazon Textract
Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Description
Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Version
unkown
Documentation
https://aws.amazon.com/textract/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.21 - Amazon Transcribe
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications.
Description
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications.
Version
unkown
Documentation
https://aws.amazon.com/transcribe
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.22 - Amazon Translate
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.
Description
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.
Version
unkown
Documentation
https://aws.amazon.com/translate
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.23 - Apache MXNet on AWS
Apache MXNet on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
Description
Apache MXNet on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
Version
unkown
Documentation
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.24 - AWS Deep Learning AMIs
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
Description
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
Version
unkown
Documentation
https://aws.amazon.com/deep-learning/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.25 - AWS DeepComposer
AWS DeepComposer is the world’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs.
Description
AWS DeepComposer is the world’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs.
Version
unkown
Documentation
https://aws.amazon.com/deepcomposer
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.26 - AWS DeepLens
AWS DeepLens helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
Description
AWS DeepLens helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
Version
unkown
Documentation
https://aws.amazon.com/deeplens
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.27 - AWS DeepRacer
AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL).
Description
AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL).
Version
unkown
Documentation
https://aws.amazon.com/deepracer
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.28 - AWS Inferentia
AWS Inferentia is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.
Description
AWS Inferentia is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.
Version
unkown
Documentation
https://aws.amazon.com/machine-learning/inferentia
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.29 - AWS Panorama
AWS Panorama is a machine learning (ML) appliance and software development kit (SDK) that brings computer vision (CV) to on-premises internet protocol (IP) cameras. With AWS Panorama, you can automate tasks that have traditionally required human inspection to improve visibility into potential issues.
Description
AWS Panorama is a machine learning (ML) appliance and software development kit (SDK) that brings computer vision (CV) to on-premises internet protocol (IP) cameras. With AWS Panorama, you can automate tasks that have traditionally required human inspection to improve visibility into potential issues.
Version
unkown
Documentation
https://aws.amazon.com/panorama/
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.30 - TensorFlow on AWS
TensorFlow enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.
Description
TensorFlow enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.
Version
unkown
Documentation
https://aws.amazon.com/tensorflow
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.31 -
Amazon Augmented AI
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/augmented-ai
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Augmented AI (Amazon A2I) is a machine learning service which makes it easy to build the workflows required for human review.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.32 -
Amazon CodeGuru
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/codeguru
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.33 -
Amazon Comprehend
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/comprehend
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.34 -
Amazon DevOps Guru
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/devops-guru
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon DevOps Guru is a Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability. DevOps Guru detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.35 -
Amazon Elastic Inference
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/machine-learning/elastic-inference/
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.36 -
Amazon Forecast
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/forecast/
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.37 -
Amazon Fraud Detector
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/fraud-detector
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.38 -
Amazon HealthLake
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/healthlake
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon HealthLake is a HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.39 -
Amazon Kendra
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/kendra
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Kendra is an intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.40 -
Amazon Lex
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/lex
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.41 -
Amazon Lookout for Equipment
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/lookout-for-equipment
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Lookout for Equipment analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment \u2013 with no ML expertise required.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.42 -
Amazon Lookout for Metrics
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/lookout-for-metrics
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.43 -
Amazon Lookout for Vision
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/lookout-for-vision
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Lookout for Vision is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV).
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.44 -
Amazon Monitron
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/monitron
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned downtime.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.45 -
Amazon Personalize
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/personalize/
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.46 -
Amazon Polly
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/polly
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.47 -
Amazon Rekognition
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/rekognition
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.48 -
Amazon SageMaker Ground Truth
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/sagemaker/groundtruth
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.49 -
Amazon SageMaker
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/sagemaker
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.50 -
Amazon Textract
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/textract/
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.51 -
Amazon Transcribe
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/transcribe
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.52 -
Amazon Translate
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/translate
- Tags: AI, Machine Learning
- Categories: AI
Description
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.53 -
Apache MXNet on AWS
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/mxnet
- Tags: AI, Machine Learning
- Categories: AI
Description
Apache MXNet on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.54 -
AWS Deep Learning AMIs
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/deep-learning/
- Tags: AI, Machine Learning
- Categories: AI
Description
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.55 -
AWS DeepComposer
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/deepcomposer
- Tags: AI, Machine Learning
- Categories: AI
Description
AWS DeepComposer is the world’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.56 -
AWS DeepLens
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/deeplens
- Tags: AI, Machine Learning
- Categories: AI
Description
AWS DeepLens helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.57 -
AWS DeepRacer
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/deepracer
- Tags: AI, Machine Learning
- Categories: AI
Description
AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL).
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.58 -
AWS Inferentia
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/machine-learning/inferentia
- Tags: AI, Machine Learning
- Categories: AI
Description
AWS Inferentia is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.59 -
AWS Panorama
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/panorama/
- Tags: AI, Machine Learning
- Categories: AI
Description
AWS Panorama is a machine learning (ML) appliance and software development kit (SDK) that brings computer vision (CV) to on-premises internet protocol (IP) cameras. With AWS Panorama, you can automate tasks that have traditionally required human inspection to improve visibility into potential issues.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
2.60 -
TensorFlow on AWS
- Author: Amazon
- Version: unkown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://aws.amazon.com/tensorflow
- Tags: AI, Machine Learning
- Categories: AI
Description
TensorFlow enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.
SLA
https://aws.amazon.com/compute/sla/
Data
User data is stored on Amazon servers under the associated AWS account and is protected under the AWS shared responsibility model as detailed here https://aws.amazon.com/compliance/shared-responsibility-model/
3 - AWS
TBD
3.1 - Oracle Anomaly Detection
Oracle Cloud Infrastructure (OCI) Anomaly Detection is an AI service that enables developers to more easily build business-specific anomaly detection models that flag critical incidents, resulting in faster time to detection and resolution. Specialized APIs and automated model selection simplify training and deploying anomaly detection models to applications and operations, all without data science expertise.
Description
Oracle Cloud Infrastructure (OCI) Anomaly Detection is an AI service that enables developers to more easily build business-specific anomaly detection models that flag critical incidents, resulting in faster time to detection and resolution. Specialized APIs and automated model selection simplify training and deploying anomaly detection models to applications and operations, all without data science expertise.
Version
unknown
Documentation
https://docs.oracle.com/en-us/iaas/Content/anomaly/using/home.htm
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.2 - Oracle Data Labeling
Oracle Cloud Infrastructure (OCI) Data Labeling is a service for building labeled datasets to more accurately train AI and machine learning models. With OCI Data Labeling, developers and data scientists assemble data, create and browse datasets, and apply labels to data records through user interfaces and public APIs. The labeled datasets can be exported for model development across Oracle’s AI and data science services for a seamless model-building experience.
Description
Oracle Cloud Infrastructure (OCI) Data Labeling is a service for building labeled datasets to more accurately train AI and machine learning models. With OCI Data Labeling, developers and data scientists assemble data, create and browse datasets, and apply labels to data records through user interfaces and public APIs. The labeled datasets can be exported for model development across Oracle’s AI and data science services for a seamless model-building experience.
Version
unknown
Documentation
https://www.oracle.com/in/artificial-intelligence/speech/
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.3 - Oracle Speech
Oracle Cloud Infrastructure Speech is a new AI service that uses Automatic Speech Recognition (ASR) to convert speech to text. Built on the same AI models used for Oracle Digital Assistant, developers can use Oracle’s time-tested acoustic and language models to provide highly accurate transcription for audio or video files across many languages.
Description
Oracle Cloud Infrastructure Speech is a new AI service that uses Automatic Speech Recognition (ASR) to convert speech to text. Built on the same AI models used for Oracle Digital Assistant, developers can use Oracle’s time-tested acoustic and language models to provide highly accurate transcription for audio or video files across many languages.
Version
unknown
Documentation
https://www.oracle.com/in/artificial-intelligence/speech/
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.4 - Oracle Vision
Oracle Cloud Infrastructure (OCI) Vision is an AI service that applies computer vision technology to analyze image-based content. Developers can make API calls to easily integrate pretrained models into their applications, or custom train models to meet their specific use cases. These models can be used to detect visual anomalies in manufacturing, extract text from documents to automate business workflows, and tag items in images to count products or shipments.
Description
Oracle Cloud Infrastructure (OCI) Vision is an AI service that applies computer vision technology to analyze image-based content. Developers can make API calls to easily integrate pretrained models into their applications, or custom train models to meet their specific use cases. These models can be used to detect visual anomalies in manufacturing, extract text from documents to automate business workflows, and tag items in images to count products or shipments.
Version
unknown
Documentation
https://docs.oracle.com/en-us/iaas/vision/vision/using/home.htm
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.5 -
Oracle Anomaly Detection
* Author: Oracle
* Version: unknown
* Modified: 2022-02-22
* Created: 2022-02-22
* <https://docs.oracle.com/en-us/iaas/Content/anomaly/using/home.htm>
* Tags: AI, Anomaly Detection, ML
* Categories: AI, Anomaly Detection
## Description
Oracle Cloud Infrastructure (OCI) Anomaly Detection is an AI service
that enables developers to more easily build business-specific anomaly detection models that flag critical incidents, resulting in faster time to detection and resolution. Specialized APIs and automated model selection simplify training and deploying anomaly detection models to applications and operations, all without data science expertise.
## SLA
https://www.oracle.com/cloud/sla/
## Data
Oracle's policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.6 -
Oracle Digital Assistant
* Author: Oracle
* Version: unknown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://docs.oracle.com/en/cloud/paas/digital-assistant/>
* Tags: AI, text service, chat service, voice service, chatbot, deep learning, natural language processing, artificial intelligence, app dev
* Categories: AI
## Description
Oracle Digital Assistant is an AI service that offers prebuilt skills and templates to create conversational experiences for your business applications and customers through text, chat, and voice interfaces. Application owners can easily get started with prebuilt skills to provide chatbot functionality to business users. Developers can build on the library of templates and create their own custom skills to automate the customer experiences.
## SLA
https://www.oracle.com/cloud/sla/
## Data
Oracle's policy on data usage and management can be read about on the Online Data Agreement document
https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pdf
3.7 -
Oracle Data Labeling
* Author: Oracle
* Version: unknown
* Modified: 2022-02-19
* Created: 2022-02-19
* <https://www.oracle.com/in/artificial-intelligence/speech/>
* Tags: AI, Iamge Classification, Virtual Assistance, Irregularity Detection, Forms Processing, Information Extraction
* Categories: AI, Virtual Assistance
## Description
Oracle Cloud Infrastructure (OCI) Data Labeling is a service for
building labeled datasets to more accurately train AI and machine learning models. With OCI Data Labeling, developers and data scientists assemble data, create and browse datasets, and apply labels to data records through user interfaces and public APIs. The labeled datasets can be exported for model development across Oracle’s AI and data science services for a seamless model-building experience.
## SLA
https://www.oracle.com/cloud/sla/
## Data
Oracle's policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.8 -
Oracle Speech
- Author: Oracle
- Version: unknown
- Modified: 2022-02-19
- Created: 2022-02-19
- https://www.oracle.com/in/artificial-intelligence/speech/
- Tags: AI, Speech
- Categories: AI
Description
Oracle Cloud Infrastructure Speech is a new AI service that uses Automatic Speech Recognition (ASR) to convert speech to text. Built on the same AI models used for Oracle Digital Assistant, developers can use Oracle’s time-tested acoustic and language models to provide highly accurate transcription for audio or video files across many languages.
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.9 -
Oracle Vision
* Author: Oracle
* Version: unknown
* Modified: 2022-02-19
* Created: 2022-02-19
* <https://docs.oracle.com/en-us/iaas/vision/vision/using/home.htm>
* Tags: AI, Vision, Deep Learning, Image Recognition, Text Recognition
* Categories: AI, Deep Learning
## Description
Oracle Cloud Infrastructure (OCI) Vision is an AI service that
applies computer vision technology to analyze image-based content. Developers can make API calls to easily integrate pretrained models into their applications, or custom train models to meet their specific use cases. These models can be used to detect visual anomalies in manufacturing, extract text from documents to automate business workflows, and tag items in images to count products or shipments.
## SLA
https://www.oracle.com/cloud/sla/
## Data
Oracle's policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pd
3.10 - Oracle Digital Assistant
Oracle Digital Assistant is an AI service that offers prebuilt skills and templates to create conversational experiences for your business applications and customers through text, chat, and voice interfaces. Application owners can easily get started with prebuilt skills to provide chatbot functionality to business users. Developers can build on the library of templates and create their own custom skills to automate the customer experiences.
Description
Oracle Digital Assistant is an AI service that offers prebuilt skills and templates to create conversational experiences for your business applications and customers through text, chat, and voice interfaces. Application owners can easily get started with prebuilt skills to provide chatbot functionality to business users. Developers can build on the library of templates and create their own custom skills to automate the customer experiences.
Version
unknown
Documentation
https://docs.oracle.com/en/cloud/paas/digital-assistant/
SLA
https://www.oracle.com/cloud/sla/
Data
Oracle’s policy on data usage and management can be read about on the Online Data Agreement document https://www.oracle.com/us/corporate/contracts/data-cloud-online-agreement-3087248.pdf
4 - Azure
TBD
4.1 -
Applied AI Services
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-us/azure/applied-ai-services/>
* Tags: AI, Services
* Categories: AI
## Description
A family of AI services that accelerate development of solutions for
common business processes.
## SLA
https://azure.microsoft.com/en-us/support/legal/sla/azure-applied-ai-services/v1_0/
## Data
tbd
4.2 -
Azure Machine Learning
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-us/azure/machine-learning/>
* Tags: AI, ML
* Categories: AI
## Description
Azure Machine Learning is a cloud service for accelerating and
managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows to train and deploy models, and even to manage MLOps.
## SLA
https://azure.microsoft.com/en-us/support/legal/sla/machine-learning-service/v1_0/
## Data
tbd
4.3 -
Bot Services
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-in/azure/bot-service/?view=azure-bot-service-4.0>
* Tags: AI, BOT, Service
* Categories: AI
## Description
Develop enterprise-grade conversational AI experiences while
maintaining control of your data. Build multilingual and multimodal bots for any scenario from sales to customer support and employee productivity.
## SLA
https://azure.microsoft.com/en-in/support/legal/sla/bot-services/v1_0/
## Data
tbd
4.4 -
Cognitive Search
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-us/azure/search/>
* Tags: AI, Cognition, Search
* Categories: AI
## Description
Azure Cognitive Search is the only cloud search service with
built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Use cognitive skills for vision, language and speech or use custom machine learning models to uncover insights from all types of content.
Azure Cognitive Search also offers semantic search capability, which uses advanced machine learning techniques to understand user intent and contextually rank the most relevant search results. Spend more time innovating and less time maintaining a complex cloud search solution.
## SLA
https://www.azure.cn/en-us/support/sla/search/v1_0/
## Data
tbd
4.5 -
Cognitive Services
- Author: Azure
- Version: unknown
- Modified: 22-02-2022
- Created: 22-02-2022
- https://docs.microsoft.com/en-us/azure/cognitive-services/
- Tags: AI, Cognition, Service
- Categories: AI
Description
Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps. Enable developers and data scientists of all skill levels to easily add AI capabilities to their apps.
SLA
https://www.azure.cn/en-us/support/sla/cognitive-services/
Data
tbd
4.6 -
Microsoft Genomics
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-us/azure/genomics/>
* Tags: AI, Analysis, Cloud
* Categories: AI
## Description
Microsoft Genomics offers a cloud implementation of the
Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK) for secondary analysis.
The service is ISO-certified and compliant with HIPAA regulations and offers price predictability for your genome sequencing needs.
## SLA
https://azure.microsoft.com/en-in/support/legal/sla/genomics/v1_0/
## Data
tbd
4.7 -
Project Bonsai
* Author: Azure
* Version: unknown
* Modified: 22-02-2022
* Created: 22-02-2022
* <https://docs.microsoft.com/en-us/bonsai/>
* Tags: AI, Low-code AI
* Categories: AI
## Description
Low-code AI development platform for intelligent control systems
Speed the creation of AI-powered automation to improve production efficiency and reduce downtime—without requiring data science.
## SLA
https://docs.microsoft.com/en-us/bonsai/resources/terms-of-use
## Data
tbd
4.8 - Applied AI Services
A family of AI services that accelerate development of solutions for common business processes.
Description
A family of AI services that accelerate development of solutions for common business processes.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/azure/applied-ai-services/
SLA
https://azure.microsoft.com/en-us/support/legal/sla/azure-applied-ai-services/v1_0/
Data
tbd
4.9 - Azure Machine Learning
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows to train and deploy models, and even to manage MLOps.
Description
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows to train and deploy models, and even to manage MLOps.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/azure/machine-learning/
SLA
https://azure.microsoft.com/en-us/support/legal/sla/machine-learning-service/v1_0/
Data
tbd
4.10 - Bot Services
Develop enterprise-grade conversational AI experiences while maintaining control of your data. Build multilingual and multimodal bots for any scenario from sales to customer support and employee productivity.
Description
Develop enterprise-grade conversational AI experiences while maintaining control of your data. Build multilingual and multimodal bots for any scenario from sales to customer support and employee productivity.
Version
unknown
Documentation
https://docs.microsoft.com/en-in/azure/bot-service/?view=azure-bot-service-4.0
SLA
https://azure.microsoft.com/en-in/support/legal/sla/bot-services/v1_0/
Data
tbd
4.11 - Cognitive Search
Azure Cognitive Search is the only cloud search service with built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Use cognitive skills for vision, language and speech or use custom machine learning models to uncover insights from all types of content.
Azure Cognitive Search also offers semantic search capability, which uses advanced machine learning techniques to understand user intent and contextually rank the most relevant search results. Spend more time innovating and less time maintaining a complex cloud search solution.
Description
Azure Cognitive Search is the only cloud search service with built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Use cognitive skills for vision, language and speech or use custom machine learning models to uncover insights from all types of content.
Azure Cognitive Search also offers semantic search capability, which uses advanced machine learning techniques to understand user intent and contextually rank the most relevant search results. Spend more time innovating and less time maintaining a complex cloud search solution.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/azure/search/
SLA
https://www.azure.cn/en-us/support/sla/search/v1_0/
Data
tbd
4.12 - Cognitive Services
Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps. Enable developers and data scientists of all skill levels to easily add AI capabilities to their apps.
Description
Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps. Enable developers and data scientists of all skill levels to easily add AI capabilities to their apps.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/azure/cognitive-services/
SLA
https://www.azure.cn/en-us/support/sla/cognitive-services/
Data
tbd
4.13 - Microsoft Genomics
Microsoft Genomics offers a cloud implementation of the Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK) for secondary analysis.
The service is ISO-certified and compliant with HIPAA regulations and offers price predictability for your genome sequencing needs.
Description
Microsoft Genomics offers a cloud implementation of the Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK) for secondary analysis.
The service is ISO-certified and compliant with HIPAA regulations and offers price predictability for your genome sequencing needs.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/azure/genomics/
SLA
https://azure.microsoft.com/en-in/support/legal/sla/genomics/v1_0/
Data
tbd
4.14 - Project Bonsai
Low-code AI development platform for intelligent control systems Speed the creation of AI-powered automation to improve production efficiency and reduce downtime—without requiring data science.
Description
Low-code AI development platform for intelligent control systems Speed the creation of AI-powered automation to improve production efficiency and reduce downtime—without requiring data science.
Version
unknown
Documentation
https://docs.microsoft.com/en-us/bonsai/
SLA
https://docs.microsoft.com/en-us/bonsai/resources/terms-of-use
Data
tbd
5 - Google
TBD
5.1 -
AutoML image
* Author: Google
* Version: unknown
* Modified: 22-03-2022
* Created: 22-03-2022
* <https://cloud.google.com/vertex-ai>
* Tags: AI, Services, ML models
* Categories: AI
## Description
Auto ML image is an image recognition software used to analyze
images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.
## SLA
https://cloud.google.com/vision/sla
## Data
tbd
5.2 -
AutoML Tabular
* Author: Google
* Version: unknown
* Modified: 22-03-2022
* Created: 22-03-2022
* <https://cloud.google.com/vertex-ai>
* Tags: AI, Services, ML models
* Categories: AI
## Description
AutoML uses machine learning to analyze the content of tabular data.
You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.
## SLA
https://cloud.google.com/vision/sla
## Data
tbd
5.3 -
AutoML text
- Author: Google
- Version: unknown
- Modified: 22-03-2022
- Created: 22-03-2022
- https://cloud.google.com/vertex-ai
- Tags: AI, Services, ML models, text analysis
- Categories: AI
Description
Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.4 -
AutoML translation
- Author: Google
- Version: unknown
- Modified: 22-03-2022
- Created: 22-03-2022
- https://cloud.google.com/vertex-ai
- Tags: AI, text translation, ML models
- Categories: AI
Description
Auto ML translation will automatically translate queries that are specific to a user-inputed domains. These are cutom translation models.
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.5 -
Vertex AI
- Author: Google
- Version: unknown
- Modified: 22-03-2022
- Created: 22-03-2022
- https://cloud.google.com/vertex-ai
- Tags: AI, Services, ML models
- Categories: AI, Fast Api
Description
Google vertex AI is a pretrained api service that allows the user to depoly pretrained ml models faster and more efficently
SLA
https://cloud.google.com/vertex-ai/sla
Data
tbd
5.6 - AutoML image
Auto ML image is an image recognition software used to analyze images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.
Description
Auto ML image is an image recognition software used to analyze images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.
Version
unknown
Documentation
https://cloud.google.com/vertex-ai
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.7 - AutoML Tabular
AutoML uses machine learning to analyze the content of tabular data. You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.
Description
AutoML uses machine learning to analyze the content of tabular data. You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.
Version
unknown
Documentation
https://cloud.google.com/vertex-ai
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.8 - AutoML text
Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis
Description
Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis
Version
unknown
Documentation
https://cloud.google.com/vertex-ai
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.9 - AutoML translation
Auto ML translation will automatically translate queries that are specific to a user-inputed domains. These are cutom translation models.
Description
Auto ML translation will automatically translate queries that are specific to a user-inputed domains. These are cutom translation models.
Version
unknown
Documentation
https://cloud.google.com/vertex-ai
SLA
https://cloud.google.com/vision/sla
Data
tbd
5.10 - Vertex AI
Google vertex AI is a pretrained api service that allows the user to depoly pretrained ml models faster and more efficently
Description
Google vertex AI is a pretrained api service that allows the user to depoly pretrained ml models faster and more efficently
Version
unknown
Documentation
https://cloud.google.com/vertex-ai
SLA
https://cloud.google.com/vertex-ai/sla
Data
tbd
6 - IBM
TBD
6.1 -
Communication Monitoring
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://help.cognitiveview.com/hc/en-us/categories/360003768493-Cognitive-View-Platform-Documentation>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Cognitive View monitors communication channels to automate quality and customer experience. In addition, it provides the necessary tools to create a customer-centric culture and reduce operational risk.
Voice & Text Analytics
Supports a variety of data sources, including text and voice
Contact center analytics
Open API & Integration with hundreds of 3rd party systems, including CRM
Customer Experience Analytics
Improve revenue by uncovering hidden insights from customer conversations
Sentiment & tone analysis
Predict customer concern & churn
Quality Assurance
Contact center analytics to ensure staff meets quality requirements
Automate the supervision process for workforce monitoring
In addition, Cognitive View offers custom pricing for advanced modules like compliance, conduct risk, and video analytics which is not mentioned here. Please connect with mailto:sales@cognitiveview.com to discuss your requirements.
Support Information:
Customers can submit issues directly to our support team from our website: https://help.cognitiveview.com (24/7/365). The site allows customer to submit an issue report or leave a message through the chat support. Please include as much detail as possible on the issue. Online support is available during standard business hours (M-F 10:30 AM -9 PM AEST). Off-hours support is finite and responses may be delayed.
To submit additional information, include attachments/screenshots, or escalate an urgent issue, please e-mail us at support@cognitiveview.com.
A member of our team will respond immediately upon receipt. For further information please visit: https://help.cognitiveview.com/hc/en-us/articles/360053544894-Cognitive-View-Application-Support-Services.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.2 -
Ibm Match 360 With Watson
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/mdm>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Use IBM Match 360 with Watson to quickly build data pipelines for
analytics and other data science use cases using master data. Start with your IBM MDM Advanced or Standard Edition entities, or with any data assets containing party information from the knowledge catalog and quickly map and model new attributes to your data model for a more complete view of your customers. The AI-powered matching engine speeds configuration using the same statistical methods clients have relied on to produce accurate match results. Results can be accessed via RESTful APIs, exported to flat files, or viewed online via the entity explorer.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.3 -
Knowledge Studio
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/docs/watson-knowledge-studio?topic=watson-knowledge-studio-wks_tutintro>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Teach Watson the language of your domain with custom machine
learning models that identify entities and relationships unique to your industry in unstructured text. Build your models in a collaborative environment designed for both developers and domain experts, without needing to write code. Use the models in Watson Discovery, Watson Natural Language Understanding and Watson Explorer.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.4 -
Language Translator
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/language-translator>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Neural Machine Translation comes standard for each language
pair. Corpus customization allows you to create your own translation models which account for regional or industry-specific terms. Instantly translate your content into multiple languages. From translating documents, apps, and websites to creating multilingual chatbots, what will you build?
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.5 -
Machine Learning
- Author: IBM
- Version: unkown
- Modified: 17-02-2022
- Created: 17-02-2022
- https://cloud.ibm.com/apidocs/machine-learning
- Tags: cloud service, ai, artificial intelligence, software interface
- Categories: AI/ML
Description
IBM Watson Machine Learning is a full-service IBM Cloud offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.6 -
Natural Language Understanding
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/natural-language-understanding>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Use advanced NLP to analyze text and extract meta-data from content
such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles. Apply custom annotation models developed using Watson Knowledge Studio to identify industry/domain specific entities and relations in unstructured text with Watson NLU.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.7 -
Speech To Text
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/speech-to-text>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
The Speech to Text service converts the human voice into the written
word. The service uses deep-learning AI to apply knowledge of grammar, language structure, and the composition of audio and voice signals to accurately transcribe human speech. It can be used in applications such as voice-automated chatbots, analytic tools for customer-service call centers, and multi-media transcription, among many others.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.8 -
Statum Kpi
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://www.amberoon.com/amberoon-statum>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Amberoon Statum KPI is a performance management solution that helps
banks directly measure and manage their performance against peer banks. Unlike traditional operational analytics systems, Statum provides sharp insights into the future through rigorous analysis of performance patterns across multiple financial services institutions. Statum KPI leverages advances in AI, data engineering and security to create a system of insight to support key operational decisions.
Support Information
Customers can submit issues directly to our support team via email: statumkpi_help@Amberoon.com (24/7/365). You can expect a response to all help desk tickets within one (1) business day. Daytime support responses will be done during standard business hours (M-F 8AM - 5PM US PST), with the exclusion of Federal and Bank Holidays.
Support Locations: US and India
Service Status Page: https://ibmbroker.amberoon.com/statumservicestatus
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.9 -
Text To Speech
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/text-to-speech>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
The Text to Speech service converts written text to natural-sounding
speech. The service streams the synthesized audio back with minimal delay. The audio uses appropriate cadence and intonation for its language and dialect to provide voices that are smooth and natural. The service can be used in applications such as voice-automated chatbots, as well as a variety of voice-driven and screenless applications, such as tools for the disabled or visually impaired, video narration and voice over, and educational and home-automation solutions.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.10 -
Tone Analyzer
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/tone-analyzer>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
People show various tones, such as joy, sadness, anger, and
agreeableness, in daily communications. Such tones can impact the effectiveness of communication in different contexts. Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then used to refine and improve communications. It detects three types of tones, including emotion (anger, disgust, fear, joy and sadness), social propensities (openness, conscientiousness, extroversion, agreeableness, and emotional range), and language styles (analytical, confident and tentative) from text.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.11 -
Watson Assistant
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/assistant>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Watson Assistant lets you build conversational interfaces into any
application, device, or channel. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device. Train Watson Conversation service through an easy-to-use web application, designed so you can quickly build natural conversation flows between your apps and users, and deploy scalable, cost effective solutions.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.12 -
Watson Discovery
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/discovery-data>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Add a cognitive search and content analytics engine to applications
to identify patterns, trends and actionable insights that drive better decision-making. Securely unify structured and unstructured data with pre-enriched content, and use a simplified query language to eliminate the need for manual filtering of results.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.13 -
Watson Knowledge Catalog
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://dataplatform.cloud.ibm.com/docs>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Simplify data science and data compliance with IBM Watson Knowledge
Catalog. Make your data easy to find and share while controlling access to ensure appropriate use.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.14 -
Watson Openscale
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://cloud.ibm.com/apidocs/ai-openscale>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
IBM Watson OpenScale tracks and measures outcomes from AI throughout
it'’s lifecycle, and adapts and governs AI in changing business situations
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.15 -
Watson Studio
* Author: IBM
* Version: unkown
* Modified: 17-02-2022
* Created: 17-02-2022
* <https://dataplatform.cloud.ibm.com/docs>
* Tags: cloud service, ai, artificial intelligence, software interface
* Categories: AI/ML
## Description
Watson Studio democratizes data science and AI to drive innovation
in your business. With a suite of tools for all skill levels, everyone can collaborate to prepare, analyze, and model data. You can write Python or R code in notebooks, visually code on a graphical canvas, or automatically build models.
## SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
## Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.16 - Communication Monitoring
Cognitive View monitors communication channels to automate quality and customer experience. In addition, it provides the necessary tools to create a customer-centric culture and reduce operational risk.
Voice & Text Analytics
Supports a variety of data sources, including text and voice
Contact center analytics
Open API & Integration with hundreds of 3rd party systems, including CRM
Customer Experience Analytics
Improve revenue by uncovering hidden insights from customer conversations
Sentiment & tone analysis
Predict customer concern & churn
Quality Assurance
Contact center analytics to ensure staff meets quality requirements
Automate the supervision process for workforce monitoring
In addition, Cognitive View offers custom pricing for advanced modules like compliance, conduct risk, and video analytics which is not mentioned here. Please connect with mailto:sales@cognitiveview.com to discuss your requirements.
Support Information:
Customers can submit issues directly to our support team from our website: https://help.cognitiveview.com (24/7/365). The site allows customer to submit an issue report or leave a message through the chat support. Please include as much detail as possible on the issue. Online support is available during standard business hours (M-F 10:30 AM -9 PM AEST). Off-hours support is finite and responses may be delayed.
To submit additional information, include attachments/screenshots, or escalate an urgent issue, please e-mail us at support@cognitiveview.com.
A member of our team will respond immediately upon receipt. For further information please visit: https://help.cognitiveview.com/hc/en-us/articles/360053544894-Cognitive-View-Application-Support-Services.
Description
Cognitive View monitors communication channels to automate quality and customer experience. In addition, it provides the necessary tools to create a customer-centric culture and reduce operational risk.
Voice & Text Analytics
Supports a variety of data sources, including text and voice
Contact center analytics
Open API & Integration with hundreds of 3rd party systems, including CRM
Customer Experience Analytics
Improve revenue by uncovering hidden insights from customer conversations
Sentiment & tone analysis
Predict customer concern & churn
Quality Assurance
Contact center analytics to ensure staff meets quality requirements
Automate the supervision process for workforce monitoring
In addition, Cognitive View offers custom pricing for advanced modules like compliance, conduct risk, and video analytics which is not mentioned here. Please connect with mailto:sales@cognitiveview.com to discuss your requirements.
Support Information:
Customers can submit issues directly to our support team from our website: https://help.cognitiveview.com (24/7/365). The site allows customer to submit an issue report or leave a message through the chat support. Please include as much detail as possible on the issue. Online support is available during standard business hours (M-F 10:30 AM -9 PM AEST). Off-hours support is finite and responses may be delayed.
To submit additional information, include attachments/screenshots, or escalate an urgent issue, please e-mail us at support@cognitiveview.com.
A member of our team will respond immediately upon receipt. For further information please visit: https://help.cognitiveview.com/hc/en-us/articles/360053544894-Cognitive-View-Application-Support-Services.
Version
unkown
Documentation
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.17 - Ibm Match 360 With Watson
Use IBM Match 360 with Watson to quickly build data pipelines for analytics and other data science use cases using master data. Start with your IBM MDM Advanced or Standard Edition entities, or with any data assets containing party information from the knowledge catalog and quickly map and model new attributes to your data model for a more complete view of your customers. The AI-powered matching engine speeds configuration using the same statistical methods clients have relied on to produce accurate match results. Results can be accessed via RESTful APIs, exported to flat files, or viewed online via the entity explorer.
Description
Use IBM Match 360 with Watson to quickly build data pipelines for analytics and other data science use cases using master data. Start with your IBM MDM Advanced or Standard Edition entities, or with any data assets containing party information from the knowledge catalog and quickly map and model new attributes to your data model for a more complete view of your customers. The AI-powered matching engine speeds configuration using the same statistical methods clients have relied on to produce accurate match results. Results can be accessed via RESTful APIs, exported to flat files, or viewed online via the entity explorer.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/mdm
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.18 - Knowledge Studio
Teach Watson the language of your domain with custom machine learning models that identify entities and relationships unique to your industry in unstructured text. Build your models in a collaborative environment designed for both developers and domain experts, without needing to write code. Use the models in Watson Discovery, Watson Natural Language Understanding and Watson Explorer.
Description
Teach Watson the language of your domain with custom machine learning models that identify entities and relationships unique to your industry in unstructured text. Build your models in a collaborative environment designed for both developers and domain experts, without needing to write code. Use the models in Watson Discovery, Watson Natural Language Understanding and Watson Explorer.
Version
unkown
Documentation
https://cloud.ibm.com/docs/watson-knowledge-studio?topic=watson-knowledge-studio-wks_tutintro
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.19 - Language Translator
Neural Machine Translation comes standard for each language pair. Corpus customization allows you to create your own translation models which account for regional or industry-specific terms. Instantly translate your content into multiple languages. From translating documents, apps, and websites to creating multilingual chatbots, what will you build?
Description
Neural Machine Translation comes standard for each language pair. Corpus customization allows you to create your own translation models which account for regional or industry-specific terms. Instantly translate your content into multiple languages. From translating documents, apps, and websites to creating multilingual chatbots, what will you build?
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/language-translator
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.20 - Machine Learning
IBM Watson Machine Learning is a full-service IBM Cloud offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.
Description
IBM Watson Machine Learning is a full-service IBM Cloud offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/machine-learning
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.21 - Natural Language Understanding
Use advanced NLP to analyze text and extract meta-data from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles. Apply custom annotation models developed using Watson Knowledge Studio to identify industry/domain specific entities and relations in unstructured text with Watson NLU.
Description
Use advanced NLP to analyze text and extract meta-data from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles. Apply custom annotation models developed using Watson Knowledge Studio to identify industry/domain specific entities and relations in unstructured text with Watson NLU.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/natural-language-understanding
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.22 - Speech To Text
The Speech to Text service converts the human voice into the written word. The service uses deep-learning AI to apply knowledge of grammar, language structure, and the composition of audio and voice signals to accurately transcribe human speech. It can be used in applications such as voice-automated chatbots, analytic tools for customer-service call centers, and multi-media transcription, among many others.
Description
The Speech to Text service converts the human voice into the written word. The service uses deep-learning AI to apply knowledge of grammar, language structure, and the composition of audio and voice signals to accurately transcribe human speech. It can be used in applications such as voice-automated chatbots, analytic tools for customer-service call centers, and multi-media transcription, among many others.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/speech-to-text
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.23 - Statum Kpi
Amberoon Statum KPI is a performance management solution that helps banks directly measure and manage their performance against peer banks. Unlike traditional operational analytics systems, Statum provides sharp insights into the future through rigorous analysis of performance patterns across multiple financial services institutions. Statum KPI leverages advances in AI, data engineering and security to create a system of insight to support key operational decisions.
Support Information
Customers can submit issues directly to our support team via email: statumkpi_help@Amberoon.com (24/7/365). You can expect a response to all help desk tickets within one (1) business day. Daytime support responses will be done during standard business hours (M-F 8AM - 5PM US PST), with the exclusion of Federal and Bank Holidays.
Support Locations: US and India
Service Status Page: https://ibmbroker.amberoon.com/statumservicestatus
Description
Amberoon Statum KPI is a performance management solution that helps banks directly measure and manage their performance against peer banks. Unlike traditional operational analytics systems, Statum provides sharp insights into the future through rigorous analysis of performance patterns across multiple financial services institutions. Statum KPI leverages advances in AI, data engineering and security to create a system of insight to support key operational decisions.
Support Information
Customers can submit issues directly to our support team via email: statumkpi_help@Amberoon.com (24/7/365). You can expect a response to all help desk tickets within one (1) business day. Daytime support responses will be done during standard business hours (M-F 8AM - 5PM US PST), with the exclusion of Federal and Bank Holidays.
Support Locations: US and India
Service Status Page: https://ibmbroker.amberoon.com/statumservicestatus
Version
unkown
Documentation
https://www.amberoon.com/amberoon-statum
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.24 - Text To Speech
The Text to Speech service converts written text to natural-sounding speech. The service streams the synthesized audio back with minimal delay. The audio uses appropriate cadence and intonation for its language and dialect to provide voices that are smooth and natural. The service can be used in applications such as voice-automated chatbots, as well as a variety of voice-driven and screenless applications, such as tools for the disabled or visually impaired, video narration and voice over, and educational and home-automation solutions.
Description
The Text to Speech service converts written text to natural-sounding speech. The service streams the synthesized audio back with minimal delay. The audio uses appropriate cadence and intonation for its language and dialect to provide voices that are smooth and natural. The service can be used in applications such as voice-automated chatbots, as well as a variety of voice-driven and screenless applications, such as tools for the disabled or visually impaired, video narration and voice over, and educational and home-automation solutions.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/text-to-speech
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.25 - Tone Analyzer
People show various tones, such as joy, sadness, anger, and agreeableness, in daily communications. Such tones can impact the effectiveness of communication in different contexts. Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then used to refine and improve communications. It detects three types of tones, including emotion (anger, disgust, fear, joy and sadness), social propensities (openness, conscientiousness, extroversion, agreeableness, and emotional range), and language styles (analytical, confident and tentative) from text.
Description
People show various tones, such as joy, sadness, anger, and agreeableness, in daily communications. Such tones can impact the effectiveness of communication in different contexts. Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then used to refine and improve communications. It detects three types of tones, including emotion (anger, disgust, fear, joy and sadness), social propensities (openness, conscientiousness, extroversion, agreeableness, and emotional range), and language styles (analytical, confident and tentative) from text.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/tone-analyzer
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.26 - Watson Assistant
Watson Assistant lets you build conversational interfaces into any application, device, or channel. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device. Train Watson Conversation service through an easy-to-use web application, designed so you can quickly build natural conversation flows between your apps and users, and deploy scalable, cost effective solutions.
Description
Watson Assistant lets you build conversational interfaces into any application, device, or channel. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device. Train Watson Conversation service through an easy-to-use web application, designed so you can quickly build natural conversation flows between your apps and users, and deploy scalable, cost effective solutions.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/assistant
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.27 - Watson Discovery
Add a cognitive search and content analytics engine to applications to identify patterns, trends and actionable insights that drive better decision-making. Securely unify structured and unstructured data with pre-enriched content, and use a simplified query language to eliminate the need for manual filtering of results.
Description
Add a cognitive search and content analytics engine to applications to identify patterns, trends and actionable insights that drive better decision-making. Securely unify structured and unstructured data with pre-enriched content, and use a simplified query language to eliminate the need for manual filtering of results.
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/discovery-data
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.28 - Watson Knowledge Catalog
Simplify data science and data compliance with IBM Watson Knowledge Catalog. Make your data easy to find and share while controlling access to ensure appropriate use.
Description
Simplify data science and data compliance with IBM Watson Knowledge Catalog. Make your data easy to find and share while controlling access to ensure appropriate use.
Version
unkown
Documentation
https://dataplatform.cloud.ibm.com/docs
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.29 - Watson Openscale
IBM Watson OpenScale tracks and measures outcomes from AI throughout it'’s lifecycle, and adapts and governs AI in changing business situations
Description
IBM Watson OpenScale tracks and measures outcomes from AI throughout it'’s lifecycle, and adapts and governs AI in changing business situations
Version
unkown
Documentation
https://cloud.ibm.com/apidocs/ai-openscale
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
6.30 - Watson Studio
Watson Studio democratizes data science and AI to drive innovation in your business. With a suite of tools for all skill levels, everyone can collaborate to prepare, analyze, and model data. You can write Python or R code in notebooks, visually code on a graphical canvas, or automatically build models.
Description
Watson Studio democratizes data science and AI to drive innovation in your business. With a suite of tools for all skill levels, everyone can collaborate to prepare, analyze, and model data. You can write Python or R code in notebooks, visually code on a graphical canvas, or automatically build models.
Version
unkown
Documentation
https://dataplatform.cloud.ibm.com/docs
SLA
https://cloud.ibm.com/docs/overview?topic=overview-slas
Data
The IBM Watson data usage and privacy policy is described here:https://www.ibm.com/watson/data-privacy/
7 - Oracle
TBD
7.1 - SAP AI Core
SAP AI Core is a service in the SAP Business Technology Platform which is designed to handle the execution and operations of your AI assets in a standardized, scalable, and hyperscaler-agnostic way. It provides seamless integration with your SAP solutions. Any AI function can be easily realized using open-source frameworks. SAP AI Core supports full lifecycle management of AI scenarios.
Description
SAP AI Core is a service in the SAP Business Technology Platform which is designed to handle the execution and operations of your AI assets in a standardized, scalable, and hyperscaler-agnostic way. It provides seamless integration with your SAP solutions. Any AI function can be easily realized using open-source frameworks. SAP AI Core supports full lifecycle management of AI scenarios.
Version
unknown
Documentation
https://help.sap.com/viewer/product/AI_CORE/CLOUD/en-US
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.2 - SAP AI Launchpad
SAP AI Launchpad is a multitenant software as a service (SaaS) application in SAP Business Technology Platform. Customers and partners can use SAP AI Launchpad to manage AI use cases (scenarios) across multiple instances of AI runtimes (such as SAP AI Core).
Description
SAP AI Launchpad is a multitenant software as a service (SaaS) application in SAP Business Technology Platform. Customers and partners can use SAP AI Launchpad to manage AI use cases (scenarios) across multiple instances of AI runtimes (such as SAP AI Core).
Version
unknown
Documentation
https://help.sap.com/viewer/product/AI_LAUNCHPAD/CLOUD/en-US
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.3 - SAP Business Entity Recognition
Business Entity Recognition helps you to detect and highlight any type of business entity in unstructured text. You can use the service, for example, to automatically extract the context from incoming emails with invoice inquiries, automating recurring tasks associated with answering queries about the status and payment of invoices. Business Entity Recognition is part of the SAP AI Business Services portfolio.
Description
Business Entity Recognition helps you to detect and highlight any type of business entity in unstructured text. You can use the service, for example, to automatically extract the context from incoming emails with invoice inquiries, automating recurring tasks associated with answering queries about the status and payment of invoices. Business Entity Recognition is part of the SAP AI Business Services portfolio.
Version
unknown
Documentation
https://help.sap.com/viewer/product/Business_Entity_Recognition/SHIP/en-US
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.4 - SAP Conversational AI
SAP Conversational AI is a collection of natural language processing services. As the conversational AI layer of SAP Business Technology Platform, it enables users to build and monitor intelligent chatbots in one interface to automate tasks and workflows.
Description
SAP Conversational AI is a collection of natural language processing services. As the conversational AI layer of SAP Business Technology Platform, it enables users to build and monitor intelligent chatbots in one interface to automate tasks and workflows.
Version
unknown
Documentation
https://help.sap.com/viewer/product/SAP_CONVERSATIONAL_AI/latest/en-US
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.5 - SAP Document Classification
Document Classification helps you to apply machine learning to automate the management and processing of large amounts of business documents. With customized classification models, you can use the service in a wide range of business scenarios and adapt it to your special requirements. Use the service in critical business processes such as enterprise mail inbox processing, contract management and invoice processing. Document Classification is part of the SAP AI Business Services portfolio.
Description
Document Classification helps you to apply machine learning to automate the management and processing of large amounts of business documents. With customized classification models, you can use the service in a wide range of business scenarios and adapt it to your special requirements. Use the service in critical business processes such as enterprise mail inbox processing, contract management and invoice processing. Document Classification is part of the SAP AI Business Services portfolio.
Version
unknown
Documentation
https://help.sap.com/viewer/product/DOCUMENT_CLASSIFICATION/SHIP/en-US
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.6 -
SAP AI Core
* Author: SAP
* Version: unknown
* Modified: 2022-02-25
* Created: 2022-02-25
* <https://help.sap.com/viewer/product/AI_CORE/CLOUD/en-US>
* Tags: AI, pipelines, integrate infrastructure, multitenant
* Categories: AI
## Description
SAP AI Core is a service in the SAP Business Technology Platform
which is designed to handle the execution and operations of your AI assets in a standardized, scalable, and hyperscaler-agnostic way. It provides seamless integration with your SAP solutions. Any AI function can be easily realized using open-source frameworks. SAP AI Core supports full lifecycle management of AI scenarios.
## SLA
https://www.sap.com/about/trust-center/agreements/cloud/cloud-services.html?sort=latest_desc&search=Service%20Level%20Agreement
## Data
SAP's policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.7 -
SAP AI Launchpad
- Author: SAP
- Version: unknown
- Modified: 2022-02-25
- Created: 2022-02-25
- https://help.sap.com/viewer/product/AI_LAUNCHPAD/CLOUD/en-US
- Tags: AI, AI use cases, lifecycle management
- Categories: AI
Description
SAP AI Launchpad is a multitenant software as a service (SaaS) application in SAP Business Technology Platform. Customers and partners can use SAP AI Launchpad to manage AI use cases (scenarios) across multiple instances of AI runtimes (such as SAP AI Core).
SLA
Data
SAP’s policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.8 -
SAP Business Entity Recognition
* Author: SAP
* Version: unknown
* Modified: 2022-02-25
* Created: 2022-02-25
* <https://help.sap.com/viewer/product/Business_Entity_Recognition/SHIP/en-US>
* Tags: AI, text extraction
* Categories: AI
## Description
Business Entity Recognition helps you to detect and highlight any
type of business entity in unstructured text. You can use the service, for example, to automatically extract the context from incoming emails with invoice inquiries, automating recurring tasks associated with answering queries about the status and payment of invoices. Business Entity Recognition is part of the SAP AI Business Services portfolio.
## SLA
https://www.sap.com/about/trust-center/agreements/cloud/cloud-services.html?sort=latest_desc&search=Service%20Level%20Agreement
## Data
SAP's policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.9 -
SAP Conversational AI
* Author: SAP
* Version: unknown
* Modified: 2022-02-25
* Created: 2022-02-25
* <https://help.sap.com/viewer/product/SAP_CONVERSATIONAL_AI/latest/en-US>
* Tags: AI, chatbot, NLP
* Categories: AI
## Description
SAP Conversational AI is a collection of natural language processing
services. As the conversational AI layer of SAP Business Technology Platform, it enables users to build and monitor intelligent chatbots in one interface to automate tasks and workflows.
## SLA
https://www.sap.com/about/trust-center/agreements/cloud/cloud-services.html?sort=latest_desc&search=Service%20Level%20Agreement
## Data
SAP's policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html
7.10 -
SAP Document Classification
* Author: SAP
* Version: unknown
* Modified: 2022-02-25
* Created: 2022-02-25
* <https://help.sap.com/viewer/product/DOCUMENT_CLASSIFICATION/SHIP/en-US>
* Tags: AI, document classification
* Categories: AI
## Description
Document Classification helps you to apply machine learning to
automate the management and processing of large amounts of business documents. With customized classification models, you can use the service in a wide range of business scenarios and adapt it to your special requirements. Use the service in critical business processes such as enterprise mail inbox processing, contract management and invoice processing. Document Classification is part of the SAP AI Business Services portfolio.
## SLA
https://www.sap.com/about/trust-center/agreements/cloud/cloud-services.html?sort=latest_desc&search=Service%20Level%20Agreement
## Data
SAP's policy on data usage and management can be read about on the Online Data Agreement document https://www.sap.com/about/agreements/policies.html