Generic Isn’t Good Enough: Applied Science for Retail

Theoretically sleek algorithms don’t cut it in the rigorous real-world retail environment. Learn the ins and outs of what sorts of data Revionics science ingests, the modeling and outputs, and related analytics on the Google Cloud Platform.

Hear how our AI and ML capabilities are tuned to provide real-world impact for retailers today.

About the Speakers

Senior VP, Technology and Product | Revionics

Patrick is a focused technology and business executive with a strong record of success and ‘positive disruption’.  From start-ups through mid-size and Fortune 10 companies, Patrick brings an extensive B2B/B2C background in information technology, software and hardware development, program management, process and operations, and R&D.  He is experienced in building organizations, cultivating collaboration and creating highly effective teams.  And with over 25 years of experience, Patrick is highly regarded as a creative IT thought leader.

Senior Manager, Core Data Science | Revionics

Jared Carlson is a data science engineer with Revionics and a leader on the company’s core data science team. Jared is an expert in uncovering insights from data and has a background in statistical modeling, predictive modeling, and analytics. He has been with Revionics for more than five years holding a variety of data science roles and earned a Master of Science Degree in Applied Statistics from Michigan State University and also earned an economics degree from the University of Michigan. Prior to Revionics, Jared was a quantitative analyst with American Girl, an innovative retailer and consumer goods division of Mattel.