kamal

Organizations collect data in many forms. Structured data lives in databases and spreadsheets, whereas unstructured data sits in documents, reports, and files stored across file systems. Analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results. Amazon Quick addresses this with a unified experience. You can connect structured data … Read more

AI agents that interact with enterprise APIs on behalf of users need to maintain user identity throughout the request chain. Without identity propagation, API calls arrive at downstream services as the application itself rather than the user who initiated the action. This breaks audit trails, bypasses user-level access controls, and violates the principle of least … Read more

Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting. For ambitious professionals, that shift is an opportunity: a well-crafted online voice can open doors that a résumé alone never could. But standing out takes more than content generation. It takes … Read more

In this post, we show how to build a semantic layer for agentic AI using EDB Postgres AI. We run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 (C360) questions. Earlier posts in this series built the same C360 pattern with Stardog’s knowledge graph, Denodo’s data virtualization … Read more

Conversational AI is transforming how humans interact with technology. From virtual assistants and AI-powered contact centers to real-time translation and accessibility tools, voice-first interfaces are rapidly becoming the default mode of interaction for millions of users worldwide. Yet delivering a truly natural voice experience remains one of the hardest challenges in AI infrastructure. Users expect … Read more