OneStream’s white paper explores how predictive analytics and machine learning are evolving from hype to practical value. A 2019 survey revealed low adoption—only 14–16% use these tools, though 35–40% are evaluating them. Forecast accuracy remains a key challenge, with most organizations lacking input, data access, or effective tools. Top use cases include sales forecasting, demand planning, anomaly detection, and intelligent process automation. Success depends on having data scientists and selecting software vendors committed to AI/ML. Adoption is early, but the shift to real-world impact is underway.

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