

Zhamak Dehghani - Autonomous Data Products, Decentralized Data and AI, and More
Jun 12, 2025
Zhamak Dehghani, creator of Data Mesh and CEO of NextData, discusses groundbreaking trends in data management. She illuminates the shift towards autonomous data products and the integration of AI, emphasizing their potential for efficiency. Zhamak highlights the importance of safety measures in developing these technologies and draws parallels to historical technological advancements. She also addresses challenges in data management amid the AI era, advocating for robust architectures to support evolving data practices and enhance operational efficiency.
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Simplicity Drives Autonomous Data Layer
- The data management layer between apps and storage must be simple and fast to enable innovation and compliance.
- Autonomous data products need to support multi-modality adapting quickly to new application needs like RAG and MCP.
CEOs Push AI Beyond Data Teams
- CEOs are starting new AI initiatives outside of traditional data teams because old data stacks can't keep up with AI speed needs.
- This creates tension between fast AI ambitions and cautious data platform capabilities.
Embed Safety and Trust as Code
- Safe data systems require embedded controls as code and external validation for trustworthy autonomy.
- Zero trust principles from digital services apply critically to decentralized data products.