Can banks beat the 80/20 rule for generative AI?

Staking activities and stablecoins are two of the possible ways banks could have a role in decentralized finance, said Margaret Butler, head of the financial services practice at the law firm Baker Hostetler and Kristiane Koontz, director of Treasury Services and Payments at Zions Bank, in interviews recorded at the Digital Banking Conference in June.

Tarkowski, managing partner at Actuate Law, shares a legal perspective on the lawsuit that Yotta, a savings app provider, filed against Evolve Bank & Trust, in September and recently amended.

Sid Khosla, EY Americas banking and capital markets Leader, predicts that over the next two years, 20% of generative AI cases will drive 80% of the value across financial institutions. In this podcast, he explains what those use cases are and how banks can make the most of them.

Theo Lau, co-founder of Unconventional Ventures and author of the new book Banking on Artificial Intelligence, shares a vision of how banks could help consumers navigate financial uncertainties.

It takes $50 million to $100 million dollars, three to five years of losses and a complete commitment from the board to make it as a banking-as-a-service bank, the CEO of Pathward bank says in the latest American Banker podcast. 

Rob Abrams, CEO of Mobility Payment Solutions at J.P. Morgan Payments, is overseeing the development of in-car wallet systems that turn cars into rolling credit cards. He explains his vision of what connected cars could look like and do in the future.

Valerie Abend, Accenture’s financial services cybersecurity lead, explains what banks get wrong about fending off AI-based threats and what they should do instead. 

Generative AI will remove toil from our day to day jobs, argues Lukic, who is managing director and senior partner at Boston Consulting Group.

“We want to put banks in the risk management driver’s seat,” says Sima Gandhi, co-founder of the Council for Fintech Ecosystem Standards, which has worked with a group of fintechs to create risk and compliance standards banks can use to evaluate their fintech partners. 

Software code generation and knowledge management are two of the places the bank has begun using generative AI to improve efficiency.