This session explores the growing need for explainability in modern AI systems and the critical role of trustworthiness in developing reliable machine learning solutions. Participants will gain insight into key methods and approaches for enhancing explainability and interpretability, helping bridge the gap between complex AI models and human understanding.

Speaker Bio: Praneeth Reddy Amudala Puchakayala is a Data Scientist at Regions Bank with over seven years of experience applying machine learning and data analytics to solve complex business challenges. At Regions, he develops advanced recommendation systems and predictive models that drive personalization and revenue growth across private wealth and retail banking. His professional interests span explainable AI, trustworthy machine learning, and responsible innovation in high-stakes industries. Praneeth holds a master’s degree in Data Science from the University of Alabama at Birmingham and a bachelor’s degree in Computer Science from JNTUH College of Engineering, Hyderabad. He is an active member of the AI Frontier Network and a frequent speaker on topics related to ethical and transparent AI system design.

Company/Organization:  Regions Bank-  https://www.regions.com/about-regions

Company Description: Regions Bank is a full-service financial institution headquartered in Birmingham, Alabama, serving customers across the South, Midwest, and Texas. The bank offers a wide range of personal and commercial banking, wealth management, and mortgage services. Regions is known for its commitment to customer service, community investment, and responsible innovation in financial technology.