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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative...

Top 6 Mistakes in Incident Response Tabletop Exercises

An incident response tabletop exercise is a discussion-based practice that uses a hypothetical situation to coach a technical or executive audience through the cybersecurity...

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 | Amazon Web Services

A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a...

Cleveland Cavaliers 2023 Offseason Recap

With tipoff about a month away, the Cavaliers have made multiple moves to prepare. Here’s a Cleveland Cavaliers 2023 offseason recap. Signed Sam Merrill  Sam Merrill...

Part 5: Genesis of Ledger Recover – Operational Security | Ledger

So far, we have shown in part 1 and 2, how Ledger Recover splits your seed into shares and sends those shares securely to...

Ledger Live Monorepo Project: Part 1 – Problematics (Make it Pain) | Ledger

In this blog post series, Valentin De Almeida, a Ledger Live developer, talks us through the Ledger Live codebase evolution over the years. In...

Announcing Amazon S3 access point support for Amazon SageMaker Data Wrangler | Amazon Web Services

We’re excited to announce Amazon SageMaker Data Wrangler support for Amazon S3 Access Points. With its visual point and click interface, SageMaker Data Wrangler...

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can...

How Thomson Reuters developed Open Arena, an enterprise-grade large language model playground, in under 6 weeks | Amazon Web Services

This post is cowritten by Shirsha Ray Chaudhuri, Harpreet Singh Baath, Rashmi B Pawar, and Palvika Bansal from Thomson Reuters. Thomson Reuters (TR), a...

Part 3: Genesis of Ledger Recover – Avoiding Collusion and Leaks | Ledger

Welcome back to the third part of our blog series on Ledger Recover’s genesis! Our goal is to explore the many technical hurdles encountered...

Entire Apex Legends Season 18 Patch Notes

With Apex Legends Resurrection right around the corner, it would only make sense for the Apex Legends Season 18 Patch Notes to be revealed....

Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra | Amazon Web Services

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees...

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