Category: Analytics

Last week I met Jeff Barr at the AWS Shenzhen Community Day. Jeff shared stories about how builders around the world are experimenting with generative AI and encouraged local developers to keep pushing ideas into real prototypes. Many attendees stayed after the sessions to discuss model grounding, evaluation, and how to bring generative AI into […]

Amazon has announced Quick Suite, a new AI-powered workspace that combines research, business intelligence, and automation tools to help users analyze data and streamline workflows all in one place.

Wow, can you all believe it? We’re nearing the end of the year already. Next thing you know, AWS re:Invent will be here! This is our biggest event that takes place every year in Las Vegas from December 1st to December 5th where we reveal and release many of the things that we’ve been working […]

As I was preparing for this week’s roundup, I couldn’t help but reflect on how database technology has evolved over the past decade. It’s fascinating to see how architectural decisions made years ago continue to shape the way we build modern applications. This week brings a special milestone that perfectly captures this evolution in cloud […]

To be honest, I’m still recovering from the AWS Summit in New York, doing my best to level up on launches like Amazon Bedrock AgentCore (Preview) and Amazon Simple Storage Service (S3) Vectors. There’s a lot of new stuff to learn! Meanwhile, it’s been an exciting week for AWS builders focused on reliability and observability. […]

AWS AI league is a program that helps organizations upskill their workforce by combining fun competition with hands-on learning using AWS AI services. It offers a unique opportunity for both enterprises and developers to gain valuable and practical skills in fine-tuning, model customization, and prompt engineering – essential skills for building generative AI solutions.

Amazon SageMaker has introduced three new capabilities—Amazon QuickSight integration for dashboard creation, governance, and sharing, Amazon S3 Unstructured Data Integration for cataloging documents and media files, and automatic data onboarding from Lakehouse—that eliminate data silos by unifying structured and unstructured data management, visualization, and governance in a single experience.

Amazon EventBridge now supports enhanced logging capabilities that enable you to easily monitor and debug your event-driven applications on AWS. Enhanced logging provides complete event lifecycle tracking with detailed logs that show when events are published, matched against rules, delivered to subscribers, or encounter failures.