Episode Summary

In this episode, we unpack one of the toughest questions enterprise teams face today: Should you build your own AI infrastructure or buy it? Anavi Nahar, Head of Product for Azure Databricks at Microsoft, offers an inside look at how top organizations navigate this decision. She shares what really drives long-term ROI, how to evaluate scalability and compliance, and why flexibility often matters more than speed in AI adoption. From data pipelines to cloud strategy, Anavi breaks down the frameworks used by Microsoft Azure and Databricks customers to future-proof their AI investments and keep innovation moving responsibly.

Key Takeaways
  • “Build vs Buy” is less about cost and more about control vs speed.
  • Hybrid approaches often deliver the best balance between agility and governance.
  • Cloud-native data architecture is the foundation for scalable AI.
  • Open source and interoperability are shaping enterprise AI strategy.
  • Success depends on aligning infrastructure choices with business outcomes, not trends.
Guest Insights

Anavi Nahar is the Head of Product at Microsoft Azure Databricks, where she leads product vision and strategy at the intersection of data, AI, and cloud 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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