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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. The sessions showcase how Amazon Q can help you streamline coding, testing, and troubleshooting, as well as enable you to make the most of your data to optimize business operations.

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AWS at Databricks Data + AI Summit 2025

databricks

AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI.

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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning Blog

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning Blog

The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics.

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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Choose Create stack.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

This post explores how OMRON Europe is using Amazon Web Services (AWS) to build its advanced ODAP and its progress toward harnessing the power of generative AI. Some of these tools included AWS Cloud based solutions, such as AWS Lambda and AWS Step Functions.

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Build a scalable AI assistant to help refugees using AWS

AWS Machine Learning Blog

This post details our technical implementation using AWS services to create a scalable, multilingual AI assistant system that provides automated assistance while maintaining data security and GDPR compliance. Amazon Titan Embeddings also integrates smoothly with AWS, simplifying tasks like indexing, search, and retrieval.

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