Machine Learning ROI: Measuring Success

Measuring the return on investment (ROI) for machine learning projects is essential for securing continued funding and demonstrating business value. This guide provides frameworks and methodologies for accurately calculating ML ROI.

Establishing Baseline Metrics

Before implementing any ML solution, establish clear baseline metrics that will serve as your comparison point.

Financial Metrics:

• Cost savings from automation
• Revenue increases from improved decisions
• Efficiency gains in operations
• Risk reduction value