OCCS GET Series:AI & Data-Driven Innovation: Transforming Finance and E-Commerce

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly event showcasing the latest advancements and transformative trends in technology. Hosted by the IEEE Orange County Computer Society Chapter, this series brings together professionals, students, and tech enthusiasts for insightful discussions on cutting-edge innovations shaping our digital future. This month, we explore how Artificial Intelligence and Data-Driven Strategies are revolutionizing the financial and e-commerce industries. Our expert speakers will discuss AI-driven fraud detection, customer service automation, and personalization in financial services, along with the implementation of dynamic pricing systems using modern data warehousing techniques. Through real-world case studies and best practices, attendees will gain a deeper understanding of AI adoption in FinTech and how data pipelines enhance pricing models for competitive advantage. Whether you’re eager to stay ahead of emerging trends, expand your professional network, or gain practical insights into AI and data-driven decision-making, the OCCS GET Series is the place to be! Interested in speaking at a future event? We’re always looking for passionate experts! Reach out to us at swapnali.karvekar@ieee.org—we’d love to collaborate. “Bonus for Attendees!” Attendees will receive access to a resource packet containing reference materials on AI implementation frameworks, relevant case studies, and code samples for common FinTech AI applications. Speaker(s): Jitender Jain, Medha Gupta, Agenda: Time (in PST) Activity 05:00pm – 05:20pm Check-in and networking 05:20pm – 05:30pm OCCS Chapter Introduction 05:30pm – 06:00pm Speaker#1: Jitender Jain (Presenting Virtually) 06:00pm – 06:30pm Speaker#2: Medha Gupta (Presenting Virtually) 06:30pm – 07:00pm Q/A Bldg: UCI Beall Applied Innovation, 5270 California Ave, P3 Innovation Center, IRVINE, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/473654