This ebook presents 15 practical machine learning use cases across finance, operations, customer analytics, HR, and supply chain. It demystifies machine learning by focusing on accessible, repeatable models that solve real business problems. Examples include fraud detection, churn prediction, demand forecasting, inventory management, employee retention, and marketing optimization. The guide emphasizes automated machine learning, governance, and explainability to ensure trust and adoption. Each use case highlights pain points, ML solutions, and business impact. The ebook concludes that modern analytics platforms make machine learning achievable for everyday business users.

Join for free to read