On-Demand Webinar

Predictive Banking: Turning Customer Signals Into Next Best Experiences

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About the webinar

Many financial institutions are sitting on a wealth of customer data but struggle to turn it into timely, relevant experiences.

Fragmented data, disconnected journeys and siloed teams make it hard for banks to turn what they know into meaningful customer connections. When signals across channels don’t lead to action at the right moment, banks are left reacting – and opportunities to deepen relationships and drive growth pass by.

In this webinar, SAS and Amazon Web Services (AWS) explore how banks can proactively meet customers where they are. See how predictive analytics, journey orchestration and AI-driven decisioning can help you interpret and act on customer signals at the right moment, creating experiences that keep customers coming back.

You’ll learn how to

  • Identify customer intent using behavioral and transactional signals to anticipate their needs and move beyond reactive campaigns.
  • Apply AI-powered customer engagement strategies to deliver personalized offers and recommendations in real time, improving conversion rates and customer loyalty.
  • Build connected omnichannel journeys using unified customer data, decisioning and personalized engagement to deliver consistent experiences across web, mobile and other customer touchpoints.

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About the experts


Matt Schrag

Senior Product Marketing Manager, SAS

Matthew Schrag is a senior product marketing manager at SAS with more than 15 years of experience in the MarTech and AdTech sectors. He has a proven track record of translating complex, data-driven technologies into high-impact market narratives. Matthew previously held pivotal go-to-market and sales commercialization roles at enterprise organizations including Google, RR Donnelley and Quantcast.


Sri Raghavan

Principal, Data and AI Enterprise Strategy, Amazon Web Services

Sri joined AWS in 2022 and leads a team supporting partners across data, analytics and AI. His work spans partner business development, strategic initiatives, marquee design integrations and investment planning. With over 25 years in advanced analytics, he has held senior roles in data science, AI evangelism, product management, engineering and professional services across finance, health care, government and application performance management. He holds master’s degrees in economics and international relations from Temple University and completed doctoral coursework at the University of Wisconsin–Madison. An award-winning speaker and active contributor at global conferences, Sri frequently writes and consults on GenAI, data fidelity, technology marketplaces and machine learning.

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