Speakers 2018

Maarten Van Aerde
Maarten Van Aerde
Key Account Manager IoT
Engie m2m

Follows a.s.a.p.

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Philip Allegaert
Director Big Data & Analytics
Keyrus

Philip has more than 15 years of BI experience using many different BI tools. He took on the responsibility of Big Data & Analytics director. In this role he provides insights to companies on how the digital revolution and the new technologies can help companies in getting a competitive advantage.

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Gilles Apcher
Senior Solutions Engineer
ASG Technologies

Gilles has over 20 years experience in Enterprise Data Management implementations, working with a diverse group of major corporations around the world.

He is specialized in data mapping, data lineage and data normalization.

Gilles helps companies to be compliant on absolute correctness of data discovery (BCBS239, Solvency) and recently works on several GDPR programs.

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Frank Vanden Berghen
CEO
Timi

Frank owns a PhD in Applied-Mathematics in the field of Machine learning and Artificial Intelligence. Since more than 20 years, Frank is creating predictive models, first as a researcher, after as a consultant. As a consultant, Frank used practically all tools available on the market and felt frustrated because of the limitations of these tools. The question was: How is it possible that the best tools available at that time to do advanced analytics where tools developed by hobbyist during their free time in their garage? So, in 2007, Frank decided to create the most advanced tool for predictive analytics on the planet. TIMi was born. Since now more than 10 years, Frank and his team are pushing the boundaries of what’s possible to do with a computer, to boldly go where not dataminer has gone before. Using his tool, Frank is a recurrent top winner at Kaggle and KDD cups.

 

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Jesse Davis
Jesse Davis, Associate
KU Leuven

Jesse Davis is an associate professor in the Department of Computer Science at KU Leuven in Belgium. He received his bachelor's degree from Williams College (USA) and his masters' and PhD from the University of Wisconsin – Madison (USA). He completed a three year post doc at the University of Washington (USA). His main research interests are in machine learning, data mining, and artificial intelligence. Furthermore, he is interested in applying techniques from these fields to address problems in health care and sports. He is also a co-founder of Activ84Health, a startup whose mission is to motivate elderly individuals to remain physically active.

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