Catalog & Cocktails: The Honest, No-BS Data Podcast TAKEAWAYS - What is Data + AI Observability and Why It's Part of Your Competitive Moat with Barr Moses
May 1, 2025
Barr Moses shares insights on why managing data is more important than just having advanced models for competitive advantage. He explains the concept of AI observability, highlighting its dependence on solid data practices. The discussion navigates through common data challenges organizations face with AI, advocating for collaboration between data and software teams. Ultimately, building reliable data systems is essential for creating resilient AI applications.
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Data + AI Observability Integration
- AI observability integrates data and AI observability as one combined discipline.
- The real power lies in managing proprietary data with end-to-end reliability.
Focus on Customer Problems
- Focus on solving customer problems, not just adopting technology blindly.
- Address core causes like model responses and code changes to improve AI reliability.
Build AI-Ready Foundations
- Build AI systems with operations integrated side by side with data engineering and software teams.
- Prioritize foundations by knowing your data and how it's used to be AI ready.