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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. It is available both as a synchronous or asynchronous API.

APIs 88
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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

Knowledge Bases for Amazon Bedrock currently supports four vector stores: Amazon OpenSearch Serverless , Amazon Aurora PostgreSQL-Compatible Edition , Pinecone , and Redis Enterprise Cloud. You have the option to override it to use either hybrid or semantic search in the API.

APIs 106
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 106
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Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. Customers converse with the bot in natural language with multiple steps invoking external APIs to accomplish subtasks.

APIs 84
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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. For more information on setting up your account, refer to the Genesys documentation. Save your configuration.