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AI Services

TBD

A Catalog of AI Services

1 - Alibaba

TBD

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

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

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

https://aws.amazon.com/kendra

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

https://aws.amazon.com/lex

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

https://aws.amazon.com/polly

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

https://aws.amazon.com/mxnet

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

https://help.cognitiveview.com/hc/en-us/categories/360003768493-Cognitive-View-Platform-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

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

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

7.2 - 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

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

7.3 - 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

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

7.4 - 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

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

7.5 - 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

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

7.6 -

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

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

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

7.8 -

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