Elevating Customer Experience:
An IT Leader’s Guide to
GenAI Success
- Thursday, August 29, 2024 | 1 PM CT
Watch The Recording Now!
Our Panelists
Former CIO, Exelon and
rSTAR Advisory Council Member
Mark is a 35-year leader, innovator, and veteran of the energy industry. He retired from Exelon in 2024, where he held numerous roles, including Enterprise Architect, IT Director of Large Utility Projects, IT Director Utility Solutions, VP of IT for ComEd and Vice President IT and CIO Exelon Utilities. He most recently served as Senior Vice President IT and CIO. During his career at Exelon, his focus was on developing a high performing IT team to drive standardization, collaboration, efficiency, and consistency within the utilities for higher performance and identifying best practices that all Exelon utilities could leverage.
Former CTO, Exelon and
rSTAR Advisory Council Member
Chris is an experienced executive with cyber security experience, IT operations expertise and has executed multiple mergers and acquisitions in different industries and countries. His career has focused on optimizing processes, innovating, and using technology to amplify results through exceptional global teams. Chris is a resourceful leader that has developed business and delivery capabilities to meet dynamic industry needs, including in regulated industry domains. He most recently served as the Chief Technology Officer for Exelon Corporation, the largest Energy Transmission and Distribution company in the United States.
CIO, Arizona Public Service
Key Takeaways
- Improving customer experience (CX) with data, workflows, and automations from GenAI
- Aligning GenAI projects with overall business goals and objectives
- Choosing projects to start with to avoid “analysis paralysis”
- Ensuring strong partnerships between IT and business units to focus on goal setting
- Developing and following governance and standards throughout an organization
- Maximizing existing technology that may offer GenAI solutions for customer experience (CX)
- Following industry trends and identifying future applications for GenAI