Thursday, February 18, 2021
The synergy of Big Data and Artificial Intelligence techniques like Machine Learning holds amazing promise for business and organizations across the globe. This huge stockpile of data, when properly harnessed, can give valuable insights and business analytics to the sector/ industry where the data set belongs.
Victor Shilo, Director of Engineering and Wolf Ruzicka, IT Innovator and Chairman of EastBanc Technologies take the stage to walk attendees through a remarkable case study that lays out a strategy to make debt collection prediction models for a large Swedish financial services company’s customer base. Through this project, they were able to identify ways to aid its customers in achieving financial health pulling data across eleven European countries.
Join this session to learn how they utilized the Minimal Viable Process (MVP) methodology to incrementally scale analytics, what data prediction models they are testing, how they plan to tackle creating a machine learning umbrella model that collects data and analyzes it despite different languages and currencies and some of the expected challenges.
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