Capital One’s sessions and speakers at NVIDIA GTC 2025

We’re excited to sponsor the NVIDIA GTC AI Conference in San Jose, California this year. Learn how Capital One leverages AI and data to innovate at scale by visiting us at the expo or attending one of our GTC sessions. Join us to explore the latest advancements in artificial intelligence and connect with industry experts and peers in an interactive, engaging environment.

At our booth, you’ll get a chance to learn more about: 

• Our mutli-agentic workflow, Chat Concierge, which helps with the car buying process.

• Our generative AI agent servicing tool, showcasing how we use AI to enhance the customer service experience.

Experience firsthand demonstrations of our AI solutions and interact with the innovators driving these technologies. Dive into real-world applications and see how they revolutionize everyday interactions. For a deeper understanding of the research behind these advancements, ask our team about the comprehensive AI research efforts that support our innovations.

Capital One’s presence goes beyond the booth. Throughout the NVIDIA GTC 2025 event, we’ll have Capital One tech leaders speaking about AI and data-powered technology and much more! 

Learn more about Capital One’s speaking sessions below. You can find the full NVIDIA GTC session catalog here.

Get insights and learn lessons on building an in-house, proprietary, multi-agentic conversational workflow for the enterprise. Hear from Capital One about its journey to create a state-of-the-art and proprietary multi-agentic AI workflow that meets the needs of various users. The team will discuss best practices, approaches, and lessons learned from real-world experiments and applications for building an agentic workflow with several logical agents that understand natural language prompts, create an action plan, validate the plan, and explain it back to the user before taking action on their behalf.

Featuring:

• Milind Naphade, SVP, Head of AI Foundations, Capital One 

• Kamlesh Talreja, SVP, Financial Services Tech, Capital One

Date/Time: Available on demand

Learn more about how to strategize around, design, build, and configure a high performance computing (HPC) cluster with advanced GPU fault tolerances with Kubernetes on AWS. When running a HPC cluster, it's important to have robust recovery mechanisms to ensure minimal downtime and high availability. Take this to the next level by developing robust components from the ground up that integrate with Kubernetes to provide recovery from GPU XID errors in a seamless manner. We’ll also cover best practices of building a scalable HPC cluster in a multi-tenant environment bundled with enhanced GPU observability.

Featuring: 

• Chandra Shekar Mudarpu, Director, AI/ML Platforms, Capital One

• Ali Rodell, Senior Director, AI/ML Platforms, Capital One

• Herik Webb, Director, AI/ML Platforms, Capital One

Date/Time: Tuesday, March 18 at 4:00 PM - 4:40 PM PDT

Location: Marriott Ballroom 4 

Capital One is taking a well-managed approach to scaling enterprise AI in the regulated financial services industry. This fireside chat will discuss Capital One's development and adoption of generative and agentic AI technologies, highlighting key initiatives that balance innovation in customer experience with well-governed and risk-centered approaches. Discover how the company creates differentiated value through proprietary in-house AI development, including real-world examples of deploying multi-agentic systems that combine generative AI with rigorous validation frameworks. The discussion will reveal critical lessons from implementing AI at scale – from technical execution challenges to fostering cross-functional alignment between practitioners and business leaders. Learn how Capital One's AI organization bridges cutting-edge research with practical applications, creating collaborative frameworks that transform technical capabilities into real business outcomes.

Featuring: 

• Prem, Natarajan, PhD, EVP, Chief Scientist and Head of Enterprise AI, Capital One

• Jennifer St. John Foster, Senior Sales Manager, North America Financial Services, NVIDIA

Date/Time: Wednesday, March 19 at 9 AM - 9:40 AM PT

Location: San Jose Marriott Ballroom 4

Get an in-depth look at how to accelerate distributed Spark applications using NVIDIA's RAPIDS framework on AWS EKS Kubernetes clusters. We'll present an overview of an analysis platform based on Kubeflow Notebooks open-source software, followed by an explanation of using Docker to build GPU-enabled Spark worker and scheduler node images. We'll talk through the setup of running Distributed Spark on Kubernetes and accelerating distributed Spark applications using RAPIDS and GPU-enabled workers, as well as the technical challenges of GPU-enabled distributed Spark applications and how to set up the RAPIDS Qualification Tool to profile our Spark jobs, and we'll share benchmarks and initial results for GPU-enabled distributed data engineering workloads. Preliminary results show significant cost savings for large GPU compute workloads. 

Featuring: 

• Bryan Nguyen , Lead Software Engineer, Capital One

• Tom Marthaler, Senior Manager Software Engineering, Capital One 

• Dhantha Gunarathna, Senior Software Engineer, Capital One

Date/Time: Wednesday, March 19 at 11:00 AM - 11:40 AM PDT 

Location: 210E

Get a deep dive into how Capital One built a proprietary agent servicing tool for thousands of customer service agents across the business. Learn how the team used generative AI, advanced semantic search, and the NVIDIA Enterprise AI ecosystem to provide its agents with a natural, knowledge-grounded experience, and help them service customers effectively and efficiently.

Featuring:  

• Alfy Samuel, Director, AI Foundations, Capital One

• Tamara Sigler, Managing VP Servicing Strategy, Capital One

Date/Time: Wednesday, March 19 at 3:20 PM - 3:35 PM PDT

Location: Expo Hall 3

New to tech at Capital One?

• Learn how we’re delivering value to millions of customers with proprietary AI solutions.

• See how we’re building and running serverless applications at a massive scale.

• Explore AI jobs and join our world-class team in accelerating AI research to change banking for good.