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AWS’s Suman Debnath on Architecting Modern AI with Retrieval-Augmented Generation (RAG) | |
In this episode of Discover Dialogues, TechDogs sits down with Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services (AWS), to explore the growing role of Retrieval-Augmented Generation (RAG) in building scalable, reliable GenAI systems. Suman, known for simplifying complex AI concepts for both technical and business audiences, highlights why RAG is key to reducing AI hallucinations. “If your librarian gives you the wrong book, you won’t find the answer,” Suman explains, drawing a parallel between poor data retrieval and unreliable AI output. RAG grounds AI models with accurate, real-world data—pulling from sources like documents, databases, or sensor feeds—before generating responses, making it ideal for enterprise environments. The discussion also covers the future of intelligent agents powered by multimodal AI. As businesses move beyond text to integrate visuals, documents, and voice data, Suman introduces Colpali, an approach for optimized multimodal search and AI decision-making. Industries like healthcare, logistics, and finance are already leveraging this evolution, where AI agents can analyze forms, visuals, and charts to drive decisions. Who Should Tune In: ✔ Product teams exploring practical GenAI adoption ✔ CXOs future-proofing AI strategies ✔ Technical leaders building enterprise AI infrastructure Suman’s experience leading AI initiatives at AWS with tools like Bedrock, SageMaker, and vector search makes this conversation essential for anyone serious about scaling AI for real-world applications. Watch the full episode at TechDogs.  | |
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| Target State: All States Target City : All Cities Last Update : Jun 30, 2025 6:41 AM Number of Views: 17 | Item Owner : Leslie Dodge Contact Email: Contact Phone: (None) |
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USNetAds > Computers > Information Technologies > Item ID 132995999
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2025-06-30 (0.718 sec)