Explore how Glenn Hopper uses generative AI to transform accounting and FP&A, moving from manual 10-K analysis to predictive insights and data democratization.

Generative AI is moving us from descriptive analytics—just saying what happened—to predictive and prescriptive insights. It is not about replacing the accountant; it is about giving the accountant a superpower.
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Glenn Hopper is the Head of AI at VAi and the author of the book Building Practical AI Solutions for Finance. He is a leading voice in the industry, championing the shift where generative AI becomes a core engine for accounting and FP&A. Hopper focuses on moving the profession beyond descriptive analytics toward predictive and prescriptive insights, helping modern accountants leverage technology to handle heavy data tasks more efficiently.
Traditionally, analyzing a stack of 10-K filings hundreds of pages deep was a labor-intensive task that could take an entire weekend. With the rise of generative AI in finance, these complex trend analyses can be completed much faster. This technology allows accountants to process massive documents and extract meaningful data by lunch, turning what used to be a grueling manual process into a streamlined, manageable workflow.
The democratization of data science refers to the removal of the technical wall that previously required finance professionals to code in Python or R. According to Glenn Hopper, you no longer need to be a developer to build a forecasting model. In this new era, accountants can use generative AI to perform high-level data science tasks simply by knowing how to communicate with the AI, making advanced analytics accessible to everyone.
The transition to AI is not about replacing the accountant but rather about giving them a superpower. By leveraging generative AI, finance professionals can move from simply describing what happened in the past to providing predictive and prescriptive insights. These tools handle the heavy lifting of data processing, allowing accountants to focus on high-level strategy and leveraging practical AI solutions to improve their overall output and value.
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