Steve Rosvold
Welcome to another insightful and engaging episode of CFO Talk, hosted by Steve Rosvold. In this episode, we dive deep into the labyrinth of cross-border accounting with none other than Katrina Nacci, the expert on cross border accounting conversions. If you think understanding GAAP is a dry topic, think again! Katrina, with her encyclopedic knowledge and practical insights, makes navigating these accounting principles as exciting as a treasure hunt—minus the pirates but with plenty of buried treasure!
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Dave Bookbinder
Imagine making one of the biggest financial decisions of your life—selling your business, securing financing, or planning for succession—based on guesswork. While some business owners opt for a professional valuation, others rely on “ballpark” estimates. At first glance, the appeal of a quick, low-cost estimate is understandable, but these methods carry risks. Understanding when a detailed valuation is essential and when a rough estimate may suffice can help you navigate these choices wisely.
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Prashanth Southekal
In today’s AI (Artificial Intelligence) landscape, finance and business leaders rely on data more than ever to make strategic decisions and boost business performance. A large language model (LLM) like ChatGPT, CoPilot, and Gemini is an AI solution that can generate insights from data easily and quickly. In recent months, many enterprises are harnessing LLM tools for generating insights, and Gartner predicts that by 2026, over 80% of enterprises will have used LLM models [1].
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Steve Rosvold and Tom Burke
This Future of Finance Leadership edition summarizes the key points from one of our most popular CFO Talks, The CEO/CFO Relationship. I interviewed a seasoned CEO for his perspective on the CFO’s role and what makes a successful CFO/CEO relationship.
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Prashanth Southekal
Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production [1]. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes [2]. Despite various reasons for this low success rate, many firms struggle to build a compelling business case to secure investment in data and analytics initiatives. So, how can one effectively use the right KPIs to showcase the business benefits of these D&A projects?
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