Georgios Kolovos: Inside NVIDIA’s Vision for AI in Payments скачать в хорошем качестве

Georgios Kolovos: Inside NVIDIA’s Vision for AI in Payments

In this episode of the Wrap Up Podcast, I sit down with Georgios Kolovos, NVIDIA fintech and payments lead, to explore how AI is reshaping the payments and fintech industry. We break down why advanced AI teams are increasingly focusing on payments and what structural changes are driving this shift. Payments are generating more data, requiring faster decisions, and demanding increasingly personalized consumer experiences—conditions that naturally accelerate the adoption of AI across the ecosystem. We discuss the emergence of payment foundation models, how they evolve beyond traditional machine learning, and why companies are beginning to connect siloed models across fraud, personalization, underwriting, and transaction intelligence. Key themes from the conversation: Why payments is becoming a prime environment for AI deployment The evolution from traditional ML to foundation models powered by tabular transformers How companies are using GPU acceleration and graph neural networks to improve fraud detection The shift from cost optimization to new product creation using AI-driven insights The early architecture of agentic commerce, where AI agents initiate and manage transactions Strategic challenges fintech companies face when implementing AI at massive transaction scale Why data strategy and talent quality determine which companies actually succeed We also discuss the themes shaping NVIDIA GTC, including payment foundation models, agentic commerce, and how companies like Adyen, Revolut, Shopify, and PayPal are experimenting with these architectures. The conversation reframes AI in fintech not as a feature layer, but as a foundational infrastructure shift across data, compute, and financial decision systems.