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Favorite Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior
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Shared by AWS Machine Learning April 1, 2026
Favorite Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This inefficient approach delays decision-making, raises operational costs, and risks human errors that result in missed revenue and lost opportunities. Amazon Nova
Read More Shared by AWS Machine Learning April 1, 2026
Favorite Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests. View Original Source (blog.google/technology/ai/) Here.
Favorite Here are Google’s latest AI updates from March 2026 View Original Source (blog.google/technology/ai/) Here.
Favorite DevOps used to be predictable: same input, same output, binary success, static dependencies, concrete metrics. You could control what you could predict, measure what was concrete, and secure what followed known patterns. Then agentic AI arrived, and everything changed. Agents operate non-deterministically; they don’t follow fixed patterns. Ask the
Read More Shared by AWS Machine Learning March 31, 2026
Favorite I’m excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent called frontier agents. These autonomous systems work independently to achieve goals, scale massively to tackle concurrent tasks, and run
Read More Shared by AWS Machine Learning March 31, 2026
Favorite Quality assurance (QA) automation is critical for modern software delivery. It catches regressions before production, validates user journeys at scale, and enables confident feature releases. But traditional QA automation solutions are brittle and demand specialized programming knowledge, decelerating software delivery. Automation frameworks rely on implementation details including UI selectors,
Read More Shared by AWS Machine Learning March 31, 2026
Favorite Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub repositories, AWS consoles, and internal applications, capturing screenshots at each step. This manual process is time-consuming, error-prone, and difficult to reproduce consistently across audit cycles.
Read More Shared by AWS Machine Learning March 31, 2026
Favorite Managing costs across multiple AWS accounts often requires finance teams to query data from several sources to get a complete view of spending and optimization opportunities. In this post, you learn how to build a FinOps agent using Amazon Bedrock AgentCore that helps your finance team manage AWS costs across
Read More Shared by AWS Machine Learning March 31, 2026
Favorite Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio. View Original Source (blog.google/technology/ai/) Here.