Speaker
Glenn Hopper
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Bio
Glenn Hopper is an author, speaker, and lecturer on the intersection of artificial intelligence and corporate finance. He is the author of two books on the intersection of AI and finance: Deep Finance: Corporate Finance in the Information Age (2021), and AI Mastery for Finance Professionals (October 2024). Glenn's work emphasizes the transformative role of AI and automation in enhancing financial operations, improving accuracy, and driving data-driven decision-making.
Glenn is the Head of AI Research and Development at Eventus Advisory Group, where he spearheads the creation of AI-powered solutions tailored to the finance and accounting industries. His insights and expertise are regularly featured in publications such as Fortune Magazine and Forbes, and he contributes to platforms including the AI Journal and the Forbes Finance Council.
With more than two decades of experience as a CFO in private equity-backed companies, Glenn has led initiatives in finance automation, M&A, and operational efficiency. He has a proven track record of modernizing finance departments by integrating data and automation to achieve better business intelligence, faster reporting, and improved operational performance.
In addition to his professional work, Glenn is an instructor at Duke University's Executive Education program, the Corporate Finance Institute, AICPA/CIMA, and LinkedIn Learning, where he teaches financial leaders how to leverage AI in their strategic planning – making advanced AI concepts accessible to finance professionals worldwide.
Glenn holds a Master of Liberal Arts (ALM) in Extension Studies in Finance from Harvard University, where he also completed the Harvard Business Analytics Program; and an MBA from Regis University in Denver, CO.
He is an avid runner and cyclist and can frequently be found running along the Mississippi River near his home in Memphis, where he lives with his wife, Kerith, and is frequently visited by his grown children, Katherine, North, and Abigail.
Speaking Topics
Demystifying AI: Why Business Leaders Can't Afford to Ignore It
Artificial Intelligence is often shrouded in technical jargon and misconceptions, leaving many business leaders hesitant to adopt it. In this enlightening talk, Glenn dispels the myths surrounding AI and breaks down its core components in an accessible manner. He argues compellingly for why AI is not a futuristic concept but an immediate necessity, offering practical steps for how business leaders can integrate AI into their strategies for long-term success.
AI-Driven Finance: The New Frontier
In this illuminating talk, Glenn delves into the transformative power of artificial intelligence in reshaping the financial landscape. From risk assessment to predictive analytics, he explores how AI is not just an add-on but a fundamental shift in financial operations. Attendees will gain actionable insights into leveraging AI for strategic advantage in finance.
Leading Digital Transformation: A CFO's Playbook
Glenn provides a roadmap for CFOs tasked with leading digital transformation initiatives in their organizations. Drawing from his extensive experience and case studies, he outlines the key steps for successful integration of AI and data analytics in financial decision-making. This talk equips financial leaders with the tools to navigate the complexities of digital transformation effectively.
Data as the New Currency: Financial Leadership in the Information Age
In an era where data is often termed the 'new oil,' Glenn discusses its pivotal role in modern corporate finance. He shares strategies for collecting, analyzing, and leveraging data to drive strategic decision-making and corporate growth. This talk is a must-attend for CFOs and financial leaders looking to harness the power of data analytics for a competitive edge.
Speaking Topics
- Demystifying AI: Why Business Leaders Can’t Afford to Ignore It
- AI-Driven Finance: The New Frontier
- Leading Digital Transformation: A CFO’s Playbook
- Data as the New Currency: Financial Leadership in the Information Age
