AI in capital markets: automation use cases

This three-part video fireside discussion series explores the dynamic landscape of predictive and generative artificial intelligence. Experts take a deep dive into the technology’s transformative impact on credit risk, synthetic data processing and automation, including data governance and evolving regulatory and compliance needs, which have brought multiple challenges to the fore.

In the second part of the series, Anthony Mancuso, director and head of risk modelling and development at SAS, and Tyler Pichach, head of worldwide banking strategy at Microsoft, share use cases that demonstrate the practical application of AI and large language models in data processing, document intelligence, their potential to enhance risk analysis and predictive capabilities.
 

00:15 – The role of AI across market, credit and liquidity risk, including asset-liability management

02:50 – Pattern-matching and detection capabilities of AI-led architectures

05:20 – Document intelligence and structured data processing to manage complex information

08:07 – Optimising business cases across credit risk functions to achieve better revenue while keeping cost and risk aspects under control

AI in capital markets discussion series

Part 1: Credit risk landscape

Part 3: Model development and data

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