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OPTION 1: Delivering Industry 4.0 with reporting and Machine Learning-driven recommendations

About This Webinar

A lot of organizations are producing physical products and as such have a wealth of data accessible from the production and manufacturing lines. In this showcase we will demonstrate how Azure can meet use-cases like predictive maintenance, Overall Equipment Effectiveness analyses and process engineering using components like Azure Data Explorer, Azure Time Series Insights, Power BI and marketplace products.

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Partner Data Science & Strategy
Today, Bart is Partner and leading theData Science & Strategy team. His focus area is to guide organizations in translating their business needs & challenges into working tech-enabled solutions. In a world driven by technology (and buzzwords), his both business- and tech- background allow him to act as a translator for clients helping them understand and focus.

Bart graduated as a Master in Business Engineering with a specialization in Marketing Advanced Analytics in 2013. Bart started his professional career as a consultant at McKinsey & Company where he focused on taking the analytical lead on international client projects. After 2 years, Bart moved to Paris and started working at ‘Africa Internet Group’ (now called Jumia - NYSE ) as first Head of Marketing Intelligence and later the entire Data & Intelligence team - 15 men strong - managing both BI analysts, BI techs and data science.

In his current role, Bart combines a strong business experience with strong technical skills. He regularly works with IT Director, BI managers and C-level management to clarify the current challenges and ambitions & helps define a roadmap trajectory for organizations to embrace Data & AI opportunities.

In his free time, Bart goes to the gym & runs (at least) once a week. He loves to cook and finds his energy in spending time with friends and family. Bart likes boardgames and is passionate about Italy and its red wine.
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