Enhancing Quantitative Analysis with FSI Pipelines | DDN AI Data Summit 2026

Recorded during the AI Data Summit hosted by DDN at NVIDIA GTC 2026, this session explores how real-time risk analytics is transforming financial services. Using a live demonstration based on real market conditions, the speaker shows how AI infrastructure can help financial institutions monitor intraday market movements, reduce exposure, and respond faster to volatility across global trading environments.

The session explains why traditional end-of-day risk processing is no longer enough for modern financial markets. With massive trade volumes, fast-moving price swings, and growing regulatory pressure, firms need real-time visibility into both structured and unstructured data to better understand market events and protect their books.

You’ll see how market data, enterprise data lake architecture, unstructured news and event signals, vector databases, LLMs, and Monte Carlo risk models come together in a modern AI-powered workflow. The session also highlights the role of DDN Infinia in creating a unified data lake for financial analytics, helping firms avoid costly recalculations, improve data access, and accelerate decision-making.

In this session, you’ll learn about:
Real-time risk analytics in financial services
AI for clearing houses and broker-dealers
Intraday market risk monitoring
Structured and unstructured data pipelines
Enterprise data lakes for financial services
Vector databases and LLMs for market intelligence
NVIDIA NeMo, Neotron, and Monte Carlo simulations
DDN Infinia for financial data infrastructure

Watch to learn how AI infrastructure is helping financial institutions move from delayed risk reporting to real-time market intelligence and why modern data architecture is becoming essential for managing risk at scale.

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Видео Enhancing Quantitative Analysis with FSI Pipelines | DDN AI Data Summit 2026 канала DDN