Most financial markets still run on one-to-one matching when optimization engines could unlock trillions. Kelly Littlepage co-founded OneChronos after exits to major financial institutions, building the fastest-growing US equities market processing $20 billion daily using Nobel Prize-winning combinatorial auction theory. He breaks down why capital markets lagged behind ad markets in auction sophistication, how machine learning solves NP-hard matching problems at Wall Street speed, and why GPU compute markets need combinatorial auctions to handle non-fungible infrastructure across latency zones and chip architectures.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Rss Apple Podcaster
Podden och tillhörande omslagsbild på den här sidan tillhör Tom Chavez -- super{set}. Innehållet i podden är skapat av Tom Chavez -- super{set} och inte av, eller tillsammans med, Poddtoppen.