Generative Data Intelligence

Tag: Amazon EventBridge

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock | Amazon Web Services

See CHANGELOG for latest features and fixes. You’ve likely experienced the challenge of taking notes during a...

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention | Amazon Web Services

This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large...

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination...

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions | Amazon Web Services

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering...

Easily build semantic image search using Amazon Titan | Amazon Web Services

Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they...

Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps | Amazon Web Services

Amazon SageMaker Canvas is a rich, no-code Machine Learning (ML) and Generative AI workspace that has allowed customers all over the world to more...

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence | Amazon Web Services

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for...

Build well-architected IDP solutions with a custom lens – Part 6: Sustainability | Amazon Web Services

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers...

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD | Amazon Web Services

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is...

Use generative AI to increase agent productivity through automated call summarization | Amazon Web Services

Your contact center serves as the vital link between your business and your customers. Every call to your contact center is an opportunity to...

AWS will let you reserve GPU time in advance – no refunds

AWS has come up with a new money-making scheme – letting customers desperate for GPU resources pay to reserve them for scheduled dates and...

Immutable and Amazon Web Services Join Forces to Revolutionize Blockchain-Based Gaming

Web3 gaming platform Immutable recently announced a partnership with Amazon Web Services (AWS). This collaboration is set to revolutionize the world of blockchain gaming,...

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