Machine Learning in RetailOn Wednesday, November 3, 2021 at 4:00 PM CET / 11:00 AM EST
Machine Learning is transforming many industries, and without a doubt, the retail sector is one of the prime examples with lots of green field opportunities given the almost endless range of possibilities that digital transformation is presenting to businesses and organizations. Companies large and small within the retail industry can benefit from Machine Learning-powered smart applications and use those insights to stay ahead of their competitors by improving processes, reducing costs, and enhancing revenue streams.
In this webinar, our expert speakers will present real-world examples that showcase how Machine Learning is deployed in the retail industry, as a variety of companies that leverage their customer and supplier data to enable a data-driven approach in order to make the right decisions on a continuous basis.
VP, Predictive Applications at BigML
Atakan has 20+ years of hi-tech product management and product marketing experience with both global brands and VC-funded startups including Apple, Yahoo!, FedEx, Strands, and Deem. At BigML, he works closely with customers and prospects in identifying predictive use cases, proposing Machine Learning solutions as well as deploying and measuring them. Atakan holds a B.S. degree in Electrical and Electronics Engineering from Bogazici University in Istanbul and an MBA from The University of Georgia’s Terry College of Business.
CEO and Co-Founder at CatsAi
Stephen is CEO of CatsAi. Through a 20 year career in investment banking technology and strategy consultancy, Stephen was always looking for efficient opportunities where technology could deliver big gains for business. After building a London based consultancy firm, he has now moved back to Technology to invent catsAi, the world's first AI Demand Predictions as-a-service product.
Online sessions between 4:00 PM - 5:00 PM CET / 11:00 AM - 12:00 PM EST on Wednesday, November 3, 2021.