Part 10/10:

He envisions a future where continuous feedback loops between data, AI, and business insights drive innovation, competitive advantage, and user trust.

Final Thoughts

Prakas’s comprehensive overview underscores that building a successful data architecture in a high-stakes domain like crypto requires careful planning, modular design, and strategic integration of AI technologies. His examples from CoinDCX illustrate how a data-centric approach enables rapid decision-making, heightened security, and innovative customer experiences, setting a blueprint for enterprises aiming to thrive in an increasingly data-driven world.