Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens.
In this webinar hosted by Data Science Central, you will learn how Consensus put together agile processes on a cloud analytic solution leveraging Trifacta data preparation and DataRobot automated machine learning to prevent fraud.
Attendees will learn:
- How Consensus developed this cloud based solution
- The role of data preparation in supplying accurate data for machine learning models
- How automated machine learning can drive more accurate predictions
- Consensus’s time-saving ROI from building models, deploying them, and the improvement in accuracy and recall
Speakers
Rajiv Shah
Data Scientist, DataRobot