Noam is a senior Data & Analytics executive offering 15+ years of successful career, delivering big data, predictive analytic and business intelligence technologies and solutions. Leading sales and business development from 0 to millions $ within a diverse range of industries. Specialized in Marketing & Financial Business Intelligence & Big Data Solutions. Hands-on in machine learning and predictive analytic.

is an Associate Professor at the Faculty of Industrial Engineering and Management, Technion.  Oren received his Ph.D. in Computer Science from Cornell University in 2006. Oren currently serves as the head of the Information Systems area.

is a well respected executive with over 25 years of experience in technical in support of designing, architecting and delivery of solutions to address business needs. Haim joined Bank Hapoalim, Israel's largest bank, in 2016 after spending 12 years in New York. He is currently the head of Fintech and Business Development at the bank , responsible of leading the bank's interfaces with Fintech oriented startups and technology firms. Haim's group is also developing strategic partnerships with relevant institutions such as financial firms, investment firms, higher education establishments and large scale domestic and international companies.

is a leading expert in the field of computational intelligence, specializing in deep learning (neural networks) and evolutionary computation. He has published more than thirty papers in leading artificial intelligence journals and conferences, mostly focusing on applications of deep learning and genetic algorithms in various real-world domains. For the past ten years, he has been teaching courses on deep learning and evolutionary computation, in addition to supervising the research of graduate students in these fields. He has also served in numerous capacities successfully designing, implementing, and leading deep learning based projects in real-world environments.

As the company’s Chief Analytics Officer, Reuven Shnaps leads Earnix Analytics  organization. In his role Reuven oversees Earnix product roadmap management  and directs the company’s analytics strategy, research and delivery for Earnix customers worldwide. Reuven has spent more than 20 years developing and analyzing advanced statistical and economic models. Over his 10+ years at Earnix, he has gained extensive experience in crafting analytical solutions, and managing and implementing pricing & analytical projects for leading financial institutions around the globe. Prior to joining Earnix, Reuven worked in the economic and statistical consulting group at Deloitte & Touche in the United States, serving corporate clients across multiple industries. He holds a PhD and a master of arts in economics from The University of Pennsylvania and a master of arts in business economics and a bachelor of arts in economics and statistics from Bar Ilan University