Enterprise deployment of AI and machine learning (ML) for cash flow forecasting is expected to increase 450% over the next two years, according to the recently released 2021 Cash Forecasting & Visibility Survey from GTreasury and Strategic Treasurer. The survey of nearly 250 enterprises across industries highlights a growing appetite for AI/ML modernization among finance and treasury teams seeking more accurate and more immediate cash flow forecasts. To sharpen forecasting capabilities (which are critical for determining business direction and priorities), today's enterprises are embracing new technology strategies and refining methods to introduce greater automation and efficiency. While just 6% of respondents currently use AI/ML technology to predict and understand their cash forecasting, enterprises' reported plans indicate that, within two years, that number will reach 27%. Respondents also indicate a similarly bright trajectory for regression analysis: 12% use it currently, but projected usage will grow to 29% in two years, and 43% use or expect to use it at some point in the future.

This article is contributed by Internet Creations, a professional services organization based in New Jersey, and a Salesforce partner with 11 support agent and sales apps on the AppExchange. During my career, I've learned the value of creating experiences that help keep stress levels down -- to anticipate what people may need before they have a problem. When the founder of Internet Creations asked me to take on the role of CEO shortly after COVID-19 hit, I knew this leadership approach would be more important than ever during the crisis. What fears might employees and customers have? How can we proactively solve them?