Leading banks, including Bank of America and JPMorgan Chase, are increasingly leveraging generative artificial intelligence (AI) to enhance customer experiences and fortify fraud detection. Emphasizing the importance of "humanizing the banking experience," Bank of America's Hari Gopalkrishnan highlighted the role of natural language processing and language model improvements in delivering personalized insights to consumers.
The Bank of America, with its $3.2 trillion in assets, has a robust track record of significant investments in technology, particularly AI. The bank incorporates AI into training practices for new hires and deploys virtual assistants on its digital platform, CashPro, which covers payments, receipts, liquidity, investments, foreign exchange, and trade.
For these institutions, the challenge lies in making the banking journey as effective as possible for both the bank and its customers. Gopalkrishnan stressed the need to leverage new capabilities in handling structured and unstructured data to generate value.
In instances where internal development of AI enhancements faces hurdles due to economies of scale, banks are turning to third-party firms. Neha Narkhede founded the Palo Alto-based fraud-detection platform Oscilar, which uses "semi-supervised" machine learning to guard against theft in online transactions. Narkhede explained that generative AI's adaptability allows it to function with minimal training data, learning new patterns in real-time and offering a competitive edge.
While AI and machine learning are often used for trend analysis and targeted marketing strategies based on consumer data, some experts believe that financial institutions are underutilizing the available information. Jody Bhagat, president of the Americas for Personetics, highlighted the untapped potential for standard AI software to analyze bank data and turn it into actionable advice for customers.
However, the increasing adoption of generative AI has raised expectations across the industry. Bhagat emphasized that safety and security are crucial as banks explore deeper integration of AI, with a focus on maintaining customer trust. The recent executive order on AI from the White House aims to enforce stricter requirements for developers and end-users regarding cybersecurity standards and minimizing biases within AI systems.
As banks navigate this evolving landscape, talent acquisition remains a challenge. Institutions like Bank of America and JPMorgan Chase, which already employ a wealth of experts in data science and AI, are considered ahead of new entrants. The adoption of generative AI represents a transformative shift in the banking sector, where innovation and customer trust remain top priorities.
