Talking Value: Optimizing Enterprise AI with Profit-Sensitive Scoring

Deciding to implement an AI or ML model for your business can be a difficult decision. What do accuracy and recall even mean? How do you know if what you are building is going to have a clear impact on the business’s bottom line? We’ll tell you how!

In this whitepaper, Martin Schmitz, the Head of Data Science Services at RapidMiner, will walk you through a simple use case.

By following this process, you’ll be able to clearly articulate the financial benefits of your project and ensure that you’re not just making the best data science decision, but the best business decision.

Prove the financial worth of your machine learning projects.

Fill out this form to access the whitepaper.

In this whitepaper, you will learn:

  • Why understanding model impact in the business world needs to go beyond data science measures like recall and accuracy
  • Why determining the financial impact of your models is a better path forward
  • How to go about calculating that value
  • How to communicate what you’ve discovered to stakeholders
  • And more