Talking Value: Optimizing Enterprise AI with Profit-Sensitive Scoring
Prove the financial worth of your machine learning projects 💸
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’re 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. Along the way, you’ll 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
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.
Find out how ML can transform your business
We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.