AI in Financial Services Conference Sessions

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.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Within BNP Paribas Group, AI has been integrated into processes and tools since 2016. The progressive use of this technology, and data management, are now at the heart of the Bank's 2025 strategic plan. However, enhanced computation capabilities and cloud evolutions encompass multiple transformative dimensions. Join us to learn how BNP Paribas balances technological innovation, regulatory compliance, and resource optimization to build a hybrid AI platform to deliver the group AI strategy. We will highlight our approach to enabling key capabilities for the bank including AI-augmented applications, seamless human-AI interaction in business processes, and unified data/AI governance.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

The problem of designing a trading strategy has traditionally been deconstructed into first making predictions ("alpha"), and then desperately deciding on trading actions with those predictions as input. As we approach a decade from the release of AlphaGo, and with the surge of interest in planning and reasoning in the context of large language models, we describe some the problems and opportunities in creating a true end-to-end trading strategy using AI.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

BlackRock's Aladdin® Copilot is an innovative generative AI tool that helps institutional investors instantly harness the power of BlackRock’s Aladdin investment management platform to make more-informed business decisions faster. As Aladdin Copilot's capabilities continue to expand, the Aladdin AI Engineering team has developed an enterprise, multi-agent platform that enables federated application development in a controlled and explainable environment that can scale with the needs of the organization. During this presentation, BlackRock will dive into the technical architecture of this multi-agent orchestration platform, including key design decisions made to reduce platform latency and support developer productivity. They will also discuss how they used NVIDIA NIM to optimize platform performance and future plans for agentic evaluation.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Join our in-depth exploration of cutting-edge techniques to accelerate portfolio optimization on GPUs. We'll unpack how to formulate optimization problems in terms of risk-reward trade-offs under various constraints. We'll discuss how to transform traditionally sequential optimization algorithms into parallel ones that can leverage GPU acceleration to manage complex, high-dimensional investment portfolios efficiently. Concrete examples using FX options and equity portfolios will be provided.

Prerequisite(s):

• Familiarity with Python and Jupyter Lab environments.