In this episode of The Future of Business Podcast, Jay Dhillon sits down with veteran AI architect Jitendra Devabhaktuni to solve the biggest bottleneck in enterprise artificial intelligence: data privacy. Jitendra explains how businesses can utilize synthetic data systems to train and test powerful AI models without ever touching a single piece of real customer information.
Key Takeaways:
Discover why training AI on synthetic data is exactly like using a flight simulator to safely train pilots.
Learn how the banking industry takes fraud transactions—which make up less than 1% of data—and multiplies them into millions of records to proactively train AI models.
Understand how synthetic data enables life-saving research on rare cancers when access to real patient data is restricted.
Find out why the EU AI Act is shifting from a roadblock into an accelerator, pushing enterprises toward synthetic data solutions.
Hear why the modern AI advantage is no longer about having the most intelligent language model, but having frictionless access to data.
About the Guest: Jitendra Devabhaktuni spent over 20 years managing digital transformations and ERP programs for large enterprises. He is the founder of LagrangeData.ai and the creator of the Synthol suite, which includes Synthol DB, Synthol Dataset, and Synthol Data Shield.
Links & Resources:
Try the free tier of Synthol (up to 5 data sets): synthhall.ai
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