Tag: aws
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11 AWS Agentic AI Case Studies Analyzed and Mapped

I spent this weekend going through the AWS Solutions Library and its customer success stories, hunting for the deployments that have actually shipped. I was specifically interested in AWS agentic AI case studies—not the polished demos, but the ones running in production with real numbers attached to them. Eleven of them are worth your time. I…
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Six Lessons Learnt: Claude Implementation

Pitfalls and Lessons learnt: By Dr. Harish Kotadia, Ph.D. Our team delivered an agentic auto loan origination program on Claude. The biggest risk on the plan was never the model. When reflecting on this project, the team discovered unique challenges specifically relevant to managing a Claude auto loan system. It was scope. We had a…
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Agentic AI: Why cloud platform choice matters more than you think

Which cloud platform to choose for Agentic AI? This isn’t purely an AI question. It’s an infrastructure question — and both Amazon and Google have built managed services specifically designed to operationalize this loop. That matters a great deal for risk, compliance and governance teams who are trying to figure out how to let AI…
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Agentic AI Era: Model is No Longer Product. The Loop Is.

The agentic AI era is here — and Claude by Anthropic is at the center of it.One of the most important concepts to understand in this space is the Agentic AI Loop. What excites me most right now: 🔹 Model Context Protocol (MCP) — standardizing how AI agents talk to tools and data sources, enabling…
