This ebook highlights three practical machine learning use cases that deliver fast value in finance without requiring advanced data science expertise. It focuses on cash flow forecasting, fraud detection, and scenario modeling. The guide explains how automated machine learning improves accuracy by analyzing complete datasets rather than samples. It shows how finance teams can reduce risk, detect anomalies, and respond faster to changing conditions using repeatable, governed workflows. Real-world examples demonstrate improved forecasting confidence and operational efficiency. The ebook concludes that accessible machine learning empowers finance teams to move from reactive reporting to predictive decision-making.

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