In this clip from my conversation with Wan Agus, Head of Engineering at Intuit Credit Karma, he explains how the company runs more than 60 billion daily predictions to guide members toward the right credit cards, loans, and mortgages. He breaks down why getting it right matters — because a bad recommendation could lower your credit score and create a lose-lose situation.
Wan also reveals how the team approaches infrastructure, from rationalizing vast amounts of data to migrating workloads onto NVIDIA Triton servers, ensuring the platform can scale safely. It is a rare look inside the engine room of one of the most widely used fintech platforms in the world.
What do you think about the future of AI in personal finance? Could this level of personalization help more people achieve financial progress, or does it raise new questions about trust and responsibility? Let me know in the comments.