{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Thinking in Tokens","title":"Building the Enterprise GenAI Stack for 2026","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/48d34699\"></iframe>","width":"100%","height":180,"duration":1283,"description":"Enterprises are racing to adopt GenAI, but most are still stuck in pilot purgatory. In this episode, we sit down with Sujeet — ML Architect at Dell and former Data Scientist at HP — to unpack what it actually takes to build a scalable GenAI stack for 2026.We dig into the realities behind RAG architectures, NL-to-SQL systems, workflow orchestration, embeddings, time-series foundations, and serving LLMs as production-grade APIs. Sujeet breaks down the difference between flashy demos and platforms that ship, drawing on nearly a decade of building ML systems that impact global operations.\nIf you're building AI inside a large org, leading an ML team, or trying to take a GenAI initiative from POC to platform, this episode is your blueprint. No hype — just the architecture, tradeoffs, and lessons from the trenches.\nFollow-\nBupender: linkedin.com/in/bhupender-sharma-02497723\nSujeet: linkedin.com/in/sujeet-jog-83276a5a\nCodebase: https://www.codebase.com/","thumbnail_url":"https://img.transistorcdn.com/MNxjU4m8QmL5TwUL6n0pXNc1gldbA7qaroshl1Yu9_E/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYzc1/MmNmM2RmYjRmM2Ix/ODk4M2U1OWUxYWJj/ZjU1Yy5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}