Highlights from NVIDIA GTC AI Conference 2026

Here’s a recap of Capital One’s presence at NVIDIA GTC 2026, which took place March 16-19 in San Jose, California. As always, GTC was a landmark event for the future of technology. As generative AI moves from experimental prototypes to enterprise-scale production, Capital One was excited to take part in the conversation.

With two featured sessions, a high-traffic booth presence, and strategic discussions with industry peers, our team shared how we are leveraging NVIDIA’s accelerated computing power to build a more enlightened banking experience.

This year, our leaders took the stage to discuss the shift from simple LLM chat interfaces to complex, multi-agentic systems capable of handling sophisticated conversational workflows.

Explore how Capital One is leveraging its proprietary multi-agentic AI framework to improve the speed, effectiveness and documentation of customer service calls concerning fraud. This solution shows promise in enhancing both the human associate experience as well as the customer experience by advancing quality reviews and agent productivity while meeting rigorous business standards for accuracy, reliability and governance.

Featuring: 

• Milind Naphade, SVP, Head of AI Foundations, Capital One
• Ritesh Soni, MVP, Data Science, Retail Bank, Capital One

Key Takeaways:

• Multi-Agent Orchestration: We demonstrated how combining customized foundation models with multi-agent orchestration reduces summarization latency while preserving critical details.
• Customization and Scalability: The solution’s underlying multi-agentic framework was originally built to support a car-buying solution and later applied to supporting customers with fraud resolution. This “build once, reuse extensively” mindset encourages associates from any corner of the bank to identify manual processes and pull from our centralized “tech stack” to build solutions.

Watch the speaker session >

Our second session delved into the “five-layer cake” of AI—energy, chips, infrastructure, models and applications. Learn firsthand from Capital One engineering leaders how they’re building distributed data pipelines to curate high-quality datasets that enable laser-focused foundation models for financial applications.

Featuring: 

• Brian Nguyen, Sr. Engineering Manager, Capital One
• Nick Resnick, Lead AI Engineer, Capital One

Watch the speaker session >

Beyond the session halls, our booth received over 1,200 visitors and served as a hub for deep dives into MLOps, data privacy and the evolving landscape of open-source AI. Following the conference, the Wall Street Journal’s CIO Journal featured Capital One in a discussion on why leading companies are leaning into open-source models despite the complexities.

GTC 2026 made one thing clear: The era of agentic AI has arrived. For Capital One, this means moving beyond simple automation to create systems that can reason, collaborate and execute complex tasks on behalf of our customers and associates.

By combining NVIDIA’s cutting-edge hardware with our modern tech stack and data ecosystem as well as our deep domain expertise, we are continuing to define what’s possible in the next generation of financial services.

Interested in joining the team building the future of AI in finance? Explore our AI Careers page.