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 latest Data Science Central webinar, 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 an AWS 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 on AWS, and the improvement in accuracy and recall
Speakers: David McNamara, Lead Product Specialist -- Trifacta Harrison Lynch, Sr. Director of PM -- Consensus Corporation Rajiv Shah, Data Scientist -- DataRobot
Hosted by: Bill Vorhies, Editorial Director -- Data Science Central |
Title: | Data Prep For Data Ops: How To Select & Deploy |
Date: | Tuesday, January 22nd, 2019 |
Time: | 9 AM - 10 AM PST |
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