Breakout 8: SAS: The AI Decision Framework: Where AI Creates Value – and Where It Doesn’t

12:05 PM - Monday, September 14
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Banks are inundated with AI opportunities, but not every business problem is suited for the same type of AI. This session introduces a practical framework for categorizing banking use cases - from credit risk and fraud to collections and customer service - and matching them to the AI approaches most likely to deliver value, including predictive analytics, generative AI, agentic systems, and optimization. Attendees will leave with a clear roadmap for prioritizing AI investments based on business outcomes rather than technology hype.

Speakers

Tom Galimanas

Tom Galimanas
Customer Solutions Lead, SAS Institute (Canada) Inc

Tom Galimanas is a Customer Solutions Lead at SAS, helping financial services organizations across Canada leverage analytics, AI, and data to drive business value. He brings over 20 years of experience spanning banking, fintech, software, risk management, strategy, product development, and data analytics. Based in Toronto, Tom is passionate about helping organizations turn complex data challenges into business opportunities.