Senior Director, Strategy and Content, Live Media
American Banker
Bailey Reutzel is a long-time finance and tech journalist with a focus on cryptocurrency and AI. Her work has appeared in CNBC, The Atlantic, The Economist, CoinDesk, Decrypt, and many more. She has worked with some of the biggest tech companies on content strategy and creation. Today, she works as an event programmer building out stories for the stage. In her free time, she writes poetry and mints NFTs.
Why Dynamic AI Modeling Using Diverse Data Continues to be a Game Changer
Already an influential force in digital finance, the ever-expanding ability of artificial intelligence and big data models to analyze more diverse data sources—including social media, spending habits, transaction history, alternative data and more—in real time gives banks and fintech players the ability to assess risk through a more dynamic lens and optimize operational efficiency. Experts outline the expanding, powerful knock-on effects, including enhanced risk management through more accurate credit scoring and credit extension, better machine-learning-driven fraud detection and prevention, and the creation of richer customer profiles that enable “instant” insight-based decision making and customized product offerings based on individual behaviors.
A spike in account-to-account (A2A) instant payments—accelerated by the effects of an instant-everything culture—is challenging the banking industry. The rise of A2A instant payments is forcing banks to confront a vastly different model and fast-moving innovation that gives customers more control and strips out intermediaries. The panel examines the innovation and cultural forces driving this change, who’s leading the charge on A2A instant payments, what it means for consumers, potential fraud implications of exploding usage and what’s at stake for incumbents.
A super-panel of experts and industry players explores the coming wave of opportunities for banks and other traditional financial institutions—and competitive challenges if they resist—to participate in on-chain finance, offering custody solutions, issuing and managing stablecoins for cross-border payments and remittances, tokenization of traditional financial assets, etc. What’s at stake? TradFi as we know it—finally.
The AI revolution continues. Already a new breed of artificial intelligence has transformed chat, search, image creation and much more. And now agentic AI — systems capable of independent adaptive problem-solving and decision-making — are coming to financial services. Banks, fintechs, crypto providers and more are experimenting with building digital workforces that can increase efficiency and productivity, and even add some creativity to financial services. The industry is placing strong bets on the technology. As of 2024, the market value of agentic AI was $5.1 billion, and Capgemini projects its market value will exceed $47 billion by 2030. Hear from leading experts on how to build, where to deploy and what challenges might arise from utilizing the bots.