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Episode Notes: https://thedataexchange.media/genesis... Matthew Glickman, Co-founder and CEO of Genesis Computing and former VP of Product at Snowflake, joins Ben Lorica to discuss the emergence of AI data agents tailored for the data engineering persona. *Sections* The "Last 10%" Problem: Why Enterprise AI Demos Fail in Production - 00:04:24 Why Data Engineers Want Automation - 00:09:25 AI as a "Junior Data Engineer": Software Rigor and Superpowers - 00:13:15 Operationalizing Genesis: Blueprints and Acquiring Institutional Knowledge - 00:15:02 The Killer Use Case: Migrating Legacy Systems and Rationalizing Logic - 00:23:25 Under the Hood: Why Frontier Models Are Essential for Data Engineering - 00:28:55 Model Personality Differences: Claude's Chattiness vs. Gemini's Self-Criticism - 00:34:05 Open Weights, Cost Pressures, and the Enterprise First-Mover Advantage - 00:36:20 The Challenge for BI-First Startups vs. The Data Engineering Approach - 00:39:15 Human-in-the-Loop: Selling Time Saved Rather Than Just Agents - 00:45:30 Capability Expansion and the Risk to Entry-Level Data Engineering Jobs - 00:48:05 The "Build vs. Buy" Disease: Why You Should Only Build Core Differentiators - 00:52:45 Support our work: subscribe to our newsletter 📩 https://gradientflow.substack.com/ leave us a tip 💰 https://buymeacoffee.com/gradientflow