The Industry 4.0 revolution is leading manufacturers to unprecedented levels of machine learning and AI adoption. If your organization has gone this route, you’re probably pleased with the results you’re seeing, given the potential for impact.

But are you sure that the programs you’ve implemented are paying dividends in terms of cold, hard cash?

In this whitepaper, Martin Schmitz, the Head of Data Science Services at RapidMiner, will walk you through a manufacturing use case. Along the way, you’ll learn:

• Why data science measures aren’t the best way to understand model impact in the business world
• How to analyze your models in terms of financial impact
• How to communicate your models results to key stakeholders
• And more

By developing an understanding of your results in terms of the bottom line, you’ll ensure that you’re making the best financial decision for your manufacturing organization.