Episode Summary

Should you build your own AI infrastructure or buy it off the shelf? Anavi Nahar, Head of Product for Azure Databricks at Microsoft, breaks down the real build-vs-buy decision for enterprise AI — when custom infrastructure pays off, when managed platforms win, and the hidden costs teams miss.

Key Takeaways

  • Buy first, build only where you differentiate; reserve custom builds for your genuine competitive edge.
  • The true cost of “build” is ongoing — maintenance, talent, and security patching dwarf the upfront spend.
  • Data readiness beats model choice; infrastructure fails when data quality and governance aren’t solved first.
  • Match architecture to team maturity — a small team on a managed platform beats a custom stack no one can maintain.
  • Avoid lock-in by designing for portability at the data/orchestration layer, not by refusing managed services.

Guest Insights

Anavi Nahar is Head of Product for Azure Databricks at Microsoft, leading product strategy for enterprise data and AI infrastructure. With deep experience in enterprise data platforms, she helps global organizations design scalable AI solutions that combine the reliability of Microsoft Azure with the flexibility of Databricks. Anavi is passionate about enabling teams to turn complex data ecosystems into engines of innovation, empowering companies to make smarter, faster, and more responsible decisions with AI.

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