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Title: Data Prep & Automated ML: Better Predictions for Consensus

Date: 1/22/2019

Time: 9:00 AM PST

Duration: 60 minutes


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

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

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Data Prep & Automated ML: Better Predictions for Consensus
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