BAN2301-REPLAY. KEYNOTE: The AI Evolution of Banking (Replay)

The world changed in November of 2022, much like it did in 2007 when the iPhone was first introduced. AI engines achieved the needed blend of price, capability, and power and ChatGPT gained 100 million users in less than 60 days. AI had been creeping into banking software for the past ten years with a slow build up that is now blossoming into an industry changing transformation. Last year Scott talked to us about Humalogy, the integration of humanity and technology in banking. This year he will extend the Humalogy concept by explaining how intelligent systems will merge with the human side of financial services to deliver elite results. This presentation will be a great chance to get up to speed on the latest opportunities and risks with AI, while also gaining a clear picture of the impact over the next few years in banking.

Learning Objectives:

• Analyze the speed of which AI’s will penetrate the banking digital backbone
• Determine how AI engines can materially impact the revenue per employee ratio for banks
• Recognize the possible intelligence levels we will see with AI
• Identify the four greatest AI risks that must become part of a bank’s ERM program