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Glenn Hopper

CFO & Director at Eventus Advisory Group, LLC
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Glenn Hopper is a technology-minded CFO with more than two decades of experience in finance, accounting, and technology leadership. He is author of the Amazon best-selling book Deep Finance: Corporate Finance in the Information Age and is a pioneering thought leader focused on the intersection of artificial intelligence and corporate finance. He has been instrumental in transforming finance operations through the integration of AI and machine learning technologies.

As a distinguished keynote speaker, Glenn has presented at finance and technology conferences, including the CFO Leadership Conference, Oracle's SuiteWorld, and the Harvard Digital Data Design (D^3) Institute. As a lecturer, Glenn has trained professional organizations and executives on the intersection of corporate finance and artificial intelligence. In November 2023, Glenn will further expand his educational reach with the release of his LinkedIn Learning course, "Generative AI in Finance."

As a finance and management consultant, he advises public and private companies on implementing financial technology and process improvements. He also serves as a fractional CFO, specializing in M&A advisory, FP&A, and business analytics. A former chief financial officer, Glenn worked in the startup space for more than two decades, where his professional focus was on transforming finance operations through improved technology. He holds a master's degree in finance with a graduate certificate in business analytics from Harvard University, and an MBA from Regis University. Connect with him on LinkedIn at https://www.linkedin.com/in/gbhopperiii/

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  • "The true power of AI in finance lies in its capacity to learn and adapt, continually improving financial models and forecasts with unprecedented accuracy and efficiency."

  • "AI's ability to predict market trends and assess risks is transforming how we approach investment strategies and portfolio management."

  • "The application of AI in corporate finance transcends conventional boundaries, allowing us to harness machine learning for nuanced risk assessment and complex scenario modeling. This leads to more robust financial strategies that are responsive to market dynamics and tailored to the unique needs of our organizations."

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