Tom Aliff, Equifax - Configurable Modeling for Maximizing Business Value - H2O World скачать в хорошем качестве

Tom Aliff, Equifax - Configurable Modeling for Maximizing Business Value - H2O World

This video was recorded in San Francisco on February 5th, 2019. Slides from the video can be viewed here: https://www.slideshare.net/0xdata/tom... In the current world of data science there many available data sources, big data platforms, and advanced Machine Learning and AI based technologies available. It has become easier and easier to derive predictive value in an efficient and streamlined way and lose sight of objectives especially in the business world. This session will focus on not losing the business context and objective as the navigator for these powerful tools we have at our disposal. Through this discussion, I will review a path towards how to use the tools like explainable and driverless AI to your advantage versus letting the tools set the direction. Bio: At Equifax, Tom leads the Data and Analytics consulting practice. Previously, Tom was the US Consumer and Commercial Data Sciences Leader. Tom joined Equifax in July of 2009. He brings several years of analytical experience in leading teams on statistical modeling engagements, analysis and consultation across several verticals including telecommunications, lending, mortgage, automotive, and marketing. Prior to Equifax, Tom was a data science manager at Experian and a Risk Modeler/Manager at American General Finance (now OneMain Financial). Tom holds a Master of Science in Applied Statistics from Purdue University, and a Bachelor of Science degree in Mathematics with a concentration in Statistics, also from Purdue University.