On-demand webinar

Unlocking unstructured data, agentic AI compliance, and managing risk

Episode 2 of The hidden future of AI series

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Discover how AI is transforming the financial services and insurance industries, enabling smarter decision-making and value creation. Watch this session to explore key advancements and challenges shaping the future of FSI.

  • Unstructured data: LLMs extracting value for risk and operations.
  • Agentic AI compliance: Managing stricter regulatory requirements.
  • Model governance: Scaling oversight as AI democratizes model creation.
  • Risk optimization: AI for credit analysis and fraud detection.
  • AI governance: Transforming processes to manage compliance bottlenecks.

Featured speakers

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Adam Gale

Field CTO for cybersecurity and AI

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Adam is a Field CTO for Cybersecurity and AI, with over 20 years of industry experience and a passion for understanding regulation and legislation affecting the IT market.

Mike_Upchurch

Mike Upchurch

VP, Financial Services and Insurance Strategy

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Mike Upchurch is the Vice President of Strategy for Financial Services at Domino Data Lab, bringing over 25 years of expertise in analytics, ML/AI, business strategy, and technology. Previously, Mike held roles at Capital One as a product manager in their innovation lab and as a strategy and operations consultant in their Center for Machine Learning. Mike led strategy at Notch and in the mortgage lending group of Bank of America and was the co-founder of Fuzzy Logix. Prior to that he developed deep hands-on technical experience at The Hunter Group and PwC.

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Dr. Kjell Carlsson

Head of Data Science Strategy, Domino

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Dr. Kjell Carlsson advises organizations on how to drive business outcomes with artificial intelligence (AI) and data science. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research where he wrote reports on topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices.