Episode: Why Data Modernization Is the Foundation of Enterprise AI
Also available on:
18 Minutes on Building a Modern Data Foundation for Enterprise AI
In this episode of GydeBites, host Prasanna Vaidya speaks with Sourabh Mukherjee about why data modernization is essential for reliable enterprise AI. Sourabh explores how multimodal data, reusable data products, semantic layers, knowledge graphs, and federated governance can strengthen AI foundations.
The conversation also examines why lift-and-shift cloud migrations, monolithic architectures, and siloed AI initiatives fall short.
This episode offers practical guidance for leaders building scalable, context-aware, and trustworthy AI systems.
Questions covered in this episode:
What is data modernization, and why does it matter for enterprise AI?
What's new about data modernization in the AI era?
Which data modernization approaches deliver the best AI outcomes?
Why isn't data modernization alone enough? What role does the enterprise knowledge layer play?
What's next for data modernization in the age of AI agents?
Meet the Speaker
Sourabh Mukherjee
Head of AI & Data Strategy and Modernization, Accenture
With nearly three decades of experience in Data, Analytics, and AI, Sourabh has helped global enterprises harness data for business growth. He specializes in AI strategy, data modernization, and large-scale transformation. A published author, keynote speaker, and academic advisor, he is passionate about advancing AI through industry and academia.
