AI in financial planning & analysis

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This is a podcast episode titled, AI in financial planning & analysis. The summary for this episode is: <p>This episode of <em>Techsplainers</em> explores how artificial intelligence is transforming Financial Planning and Analysis (FP&amp;A), building on our previous discussions of Enterprise Performance Management and Extended Planning. We examine how AI-powered tools—particularly generative AI applications—are automating routine tasks while providing deeper financial insights through machine learning, natural language processing, and predictive analytics. The episode details four key applications: predictive forecasting that adapts to market changes, multi-variable scenario planning for risk management, anomaly detection for financial integrity, and productivity enhancements like automated report generation. We also discuss how AI is reshaping finance roles, requiring new skill sets, and supporting sustainable practices. The conversation concludes with five implementation steps and a vision of how AI enables the integrated business planning approach needed for finance teams to evolve from reactive reporters to proactive strategic partners.&nbsp;</p><p><br></p><p>Find more information at <a href="https://www.ibm.com/think/topics/ai-in-financial-planning-and-analysis" rel="noopener noreferrer" target="_blank">https://www.ibm.com/think/topics/ai-in-financial-planning-and-analysis</a></p><p>Find more episodes at <a href="https://www.ibm.biz/techsplainers-podcast" rel="noopener noreferrer" target="_blank">https://www.ibm.biz/techsplainers-podcast</a></p><p><br></p><p><strong>Narrated by Teaganne Finn</strong></p>

DESCRIPTION

This episode of Techsplainers explores how artificial intelligence is transforming Financial Planning and Analysis (FP&A), building on our previous discussions of Enterprise Performance Management and Extended Planning. We examine how AI-powered tools—particularly generative AI applications—are automating routine tasks while providing deeper financial insights through machine learning, natural language processing, and predictive analytics. The episode details four key applications: predictive forecasting that adapts to market changes, multi-variable scenario planning for risk management, anomaly detection for financial integrity, and productivity enhancements like automated report generation. We also discuss how AI is reshaping finance roles, requiring new skill sets, and supporting sustainable practices. The conversation concludes with five implementation steps and a vision of how AI enables the integrated business planning approach needed for finance teams to evolve from reactive reporters to proactive strategic partners. 


Find more information at https://www.ibm.com/think/topics/ai-in-financial-planning-and-analysis

Find more episodes at https://www.ibm.biz/techsplainers-podcast


Narrated by Teaganne Finn