Can LLMs replace structured systems to scale enterprises?Jason Ganz, Senior Manager DX at dbt Labs, joins Simon Maple to unpack why, despite the rapid rise of AI systems, enterprises still rely on structured data for consistency and reliable decision making.They also discuss:the invisible edge cases LLMs can’t seedifference between software engineering and data engineering in AIthe mismatch between AI output and business logicwhat the data engineer of the future actually doesAI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development. Connect with us here: 1. Jason Ganz (LinkedIn)- https://www.linkedin.com/in/jasnonaz/2. Jason Ganz (X)- https://x.com/jasnonaz3. dbt Labs- https://www.getdbt.com/4. dbt Fusion engine- https://www.getdbt.com/product/fusion5. dbt Community- https://www.getdbt.com/community6. Simon Maple- https://www.linkedin.com/in/simonmaple/7. Tessl- https://www.linkedin.com/company/tesslio/8. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/00:00 Trailer01:01 Introduction01:41 dbt Labs04:39 Data engineers07:39 LLMs understanding13:15 AI isn’t as lazy as humans15:29 Problem: the scaffolding to get data17:38 Best contextual results19:40 Dealing with security25:00 Structured data27:37 Problems with LLMs and data29:47 Exact numbers32:10 Hallucinations34:28 Human validation36:20 MCP servers39:09 UX bottlenecks42:27 Quality of data44:00 The future of data engineers47:02 getdbt.com48:09 OutroJoin the AI Native Dev Community on Discord: https://tessl.co/4ghikjhAsk us questions:
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