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AI may be making data easier to use, but the real breakthrough is helping more people make smarter decisions with it. Host Dr. Darren interviews Wei Zheng, Chief Product Officer at Conductor, for a history lesson in AI, data management, and the evolution of enterprise software from Silicon Valley’s .com boom to today’s AI-powered marketing era.

## Key Takeaways

- Data silos are still one of the biggest barriers to insight, even in modern cloud data platforms like Snowflake, Databricks, and Redshift.

- AI can help bridge the gap between business users and technical teams by turning natural language into useful data workflows.

- The future of data is less about replacing people and more about augmenting teams with faster, smarter tools.

- Search engine optimization is evolving into AEO and GEO, helping brands get discovered in AI tools like ChatGPT, Gemini, and Claude.

- Companies that unify search, website, and campaign data can make better marketing decisions and improve attribution.

- The same lesson from the .com boom still applies today: timing, product-market fit, and execution matter as much as the idea itself.

## Chapters

- 00:00 Introduction: AI, data, and the next revolution

- 01:13 Wei Zheng's origin story

- 05:05 Lessons from the .com boom and Webvan

- 09:20 How product management bridges business and technology

- 12:08 Why data became the backbone of enterprise software

- 16:10 Democratizing data for non-technical users

- 19:40 Why data silos still slow companies down

- 23:05 AI as a bridge between business users and engineers

- 27:15 Augmented teams and the future of work

- 31:10 What Conductor does: SEO, AEO, and GEO

- 35:00 How marketers can use unified data to get found in AI search

- 38:20 Closing thoughts and where to learn more