A #1

Artificial Intelligence has to be the swarmword (it seems buzzword wasn’t loud enough) for 2025.   Everyday conversations now include Large Language Models, Small Language Models, and generative AI terminology.  However, with most wealth providers introducing AI components, and many wealth firms adopting vendor diligence, oversight, and stewardship methods to managing their internal and advisor-facing technology stacks, what best practices should firms be adopting in considering and evaluating AI elements in their businesses, and adviser practices?  What should data security/privacy and results audit criteria look like when considering these? What criteria and techniques do you use to manage 20/30 different providers and their AI frameworks and models?  How do you manage risks and rewards of providers’ different methodologies to produce potentially different results?   We do not think about it too much with Internet “Search,” but we are bound by those results with AI. What are your approaches to safeguard your firm and clients’ data in this new world?

A #2

Managed Money Platforms can be a big source of revenue for advisors and enterprise wealth firms. Competition among firms and platforms is real. Are the current managed money platforms and exchanges doing what your firm and its advisors need?  How do advisers support the claim that third-party managed money platforms align with each client’s best interest? Where are today’s platform needs delivering and not delivering versus reality? Looking through your lens, which is running a firm, what would a next generation Managed Money Platform look like? What would you include? What would you exclude?