Ask the Expert Webinar Series

Real-Time Agent Assist and Next-Gen Strategy for Financial Services

Join this webinar and learn how financial institutions can maximize collections, improve effectiveness and monitor strategies.

Thursday, Jan. 15, 2026 | 11 a.m. ET | 6 p.m. GMT • Cost: Complimentary

About the webinar

Financial institutions face a myriad of both operational and strategic decisioning challenges. SAS Intelligent Decisioning enables them to safely orchestrate all decision assets for a trifecta of solutions: maximize recovery rates, improve effectiveness and monitor strategies.

You will learn how to:

  • Integrate a multi-level strategy.
  • Prioritize collections cases.
  • Simulate, learn and prove value through safe innovation.

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About our experts


Sandra-Sorza Hernandez

Senior Solutions Advisor, SAS

Sandra is a global solution lead for risk modeling and decisioning. She has extensive experience supporting financial institutions in the development, validation and monitoring of predictive and decision models. Sandra has led initiatives to enhance AI governance, improve model transparency and integrate statistical and machine learning models into operational decision systems.

She has participated in projects and presentations on topics such as risk modeling modernization, decisioning for banking for retail and SME lending, and portfolio management. Most recently, she participated in a LinkedIn Live session discussing how AI is reshaping strategy and model governance in financial services. Sandra enjoys demonstrating how modern decisioning and analytics platforms can help organizations make faster, data-driven and compliant business decisions.


Diana Maris

Senior Product Manager, SAS

Diana has 15 years of experience turning data into value. Her background as a consultant gave her first-hand experience solving complex analytics challenges for a diverse customer base, including the banking, government, health care and energy sectors.

As the product leader for SAS Intelligent Decisioning, Diana is now focused on operationalizing AI and analytics. She helps organizations bridge the gap between their models and their business, enabling them to make real-time, automated decisions that are consistent, governed and effective. Diana is currently leading innovation in the agentic AI space, exploring how autonomous systems can address sophisticated, time-sensitive challenges.