In this episode of Momentum: Where FinTech Meets AI, Stan Altshuller is joined by Danny Dias and Dean Schaffer from Lightkeeper to explore how AI is reshaping portfolio intelligence for modern investment firms. They discuss the growing complexity of investment data, rising LP expectations, and why traditional tools like spreadsheets are no longer enough.

The conversation breaks down how AI-driven analytics and new data frameworks are helping firms improve reporting, decision-making, and responsiveness. If you’re looking to move beyond fragmented data and build a more intelligent, scalable investment process, this episode offers practical insights to help you stay competitive.

Key Moments:

01:12 "Fintech Background and Portfolio Intelligence"

04:13 "Investment Challenges in AI Era"

09:35 "AI's Impact on Data Evolution"

13:30 Evolving Hedge Fund Data Demands

17:10 "Probabilistic Answers and Complexity"

18:40 Tech Leveling Fund Competition

22:23 "AI in Asset Management Future?"

24:47 Evolving Impact of AI Models

28:20 Optimizing Data with Lightkeeper

Know More about Lightkeeper:

Linkedin : https://www.linkedin.com/company/lightkeeperllc/

Website : https://lightkeeper.com/

Connect Dean : https://www.linkedin.com/in/dean-schaffer-9a16653/

About the host :

Stan Altshuller is a leading figure at the intersection of fintech and artificial intelligence. As an investor, founder, and advisor, he has collaborated with some of the world’s top hedge funds, asset managers, and data companies, helping them leverage technology for smarter decision-making and growth. Stan hosts the Momentum podcast, where each week he shares practical AI strategies designed to help financial professionals cut through the noise, beat data overload, and build intelligent, data-driven workflows. With a passion for exploring what’s next in finance, Stan empowers his audience to stay ahead of the curve by turning ideas into actionable results.

Connect Stan :

LinkedIn Profile: https://www.linkedin.com/in/stanalt/

Website www.acadia.im