Collecting more data, and making it available across the organization, has never been easier. At the same time, modern machine learning techniques are rapidly being made available to process all that data. Naturally, one wonders whether to invest more on collecting more data, or on algorithms to analyze it.
Esteban Arcaute, Sr. Director and Head of Data Science, Category Development, @WalmartLabs, will tackle this topic at the 2017 RIS News Retail Executive Summit. His general session "More Data or Better Algorithms? Better Data, Of Course!" on Thursday, June 15, at 11:00 am, will discuss how that question is actually ill-posed, and take a look at the value of better data.
Esteban D. Arcaute has been actively working on the foundations of electronic commerce since 2005, first as an academic researcher, publishing over 10 peer reviewed publications with over 15 researchers; then as an industrial researcher and thought leader. His current interests span from learning and control systems with a human in the loop, to advanced analytics and experimentation.
Arcaute was born in Mexico City, and earned a Ph.D. and a M.S. from Stanford University in Computational and Mathematical Engineering. He also holds two other masters, one in Electrical and Computer Engineering from Supeléc (France) and one in Applied Mathematics from the Université de Metz (France).
He is currently the Sr. Director and Head of Data Science, Category Development, at @WalmartLabs. Prior to that, he was at Adchemy Inc. (acquired by @WalmartLabs) where he held several positions, from Research Scientist, to Sr. Director and Head of Research.
Successful executives like Arcaute are arming themselves with new ideas, methods and leadership skills that support smarter strategic, business and IT decisions. Click here to register for the 2017 Retail Executive Summit and arm yourself with ideas and innovative opportunities this June.