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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.

This webinar reviews how Consensus put together agile processes on a cloud analytic solution leveraging Trifacta data preparation and DataRobot automated machine learning to prevent fraud.

In this recorded webinar, you 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

Featured Speakers:
David McNamara,
 Lead Product Specialist  Trifacta
Harrison Lynch, Sr. Director of PM – Consensus Corporation
Rajiv Shah, 
Data Scientist – DataRobot

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""