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 …
Automating competitive price intelligence with Amazon Nova Act Read More »
Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests.
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 …
Build reliable AI agents with Amazon Bedrock AgentCore Evaluations Read More »
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 …
Build a FinOps agent using Amazon Bedrock AgentCore Read More »
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, …
Building an AI powered system for compliance evidence collection Read More »
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 …
Accelerating software delivery with agentic QA automation using Amazon Nova Act Read More »
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 …
AWS launches frontier agents for security testing and cloud operations Read More »
Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio.
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 …
