Banking in the Age of AI


Session summary

Bhavin Turakhia, Zeta’s CEO and Co-Founder, delivered a thought-provoking presentation at Zeta’s exclusive banking workshop, highlighting how next-gen processing platforms enable future technology as banking transitions from AI assisted decision making to AI driven decision making.

Data-Driven Banking: A Paradigm Shift

The heart of this transformation lies in data-driven decision-making. As Bhavin eloquently put it, gone are the days when banking decisions relied heavily on human expertise and experience. We have embarked on a new era where data, guided by Artificial Intelligence, fine-tunes every aspect of banking – from loans and account structures to transaction fees.

Bhavin drew parallels with the world of online advertising, emphasizing how data shapes user experiences in the digital realm. In much the same way, banking decisions can now be precisely adjusted based on each customer’s unique behavior, thanks to advanced machine learning models.

The Building Blocks of AI-Driven Banking

Bhavin explained how Next-Gen Processing delivers the essential components required for AI-driven banking:

  1. Comprehensive Data: Data is the bedrock of AI-driven banking. Next-Gen Processing platforms are designed to gather and label a vast array of data, encompassing every transaction, event, and system change. This rich dataset forms the foundation for astute analysis.
  2. Real-Time Adjustments: The power to manipulate data in real time is critical. Decisions in data-driven banking need to be made at a granular level. Customers’ data should be accessible for personalized, real-time adjustments, going beyond the capabilities of traditional banking systems.
  3. Adaptive Learning: Mistakes are bound to happen, much like in human decision-making. However, with the right data and real-time inputs, our AI systems can learn and continuously improve.
  4. Integrated Platform: The final piece of the puzzle is an integrated platform that can expose data, facilitate real-time adjustments, and provide ongoing feedback for constant refinement.

Risk Management and the Industry Inflection Point

Bhavin shared a fascinating anecdote about Blockbuster – the once-mighty video rental chain that failed to innovate and adapt to the changing landscape. This oversight ultimately led to Blockbuster’s downfall when disruptors like Netflix emerged.

Today, the banking industry stands at a similar inflection point. A fundamental shift is taking place, demanding that the status quo be challenged. The risk of not migrating to next-generation banking platforms is high, given the fast-paced evolution in the financial landscape.

Conclusion

In conclusion, Zeta’s CEO presented a compelling vision for the future of banking, one anchored in AI-driven decision-making and the strategic management of industry inflection points.