10 Lessons learned from data use cases in industry 4.0
Technical Lead in Data Science, Eiffage Energie Système – Clemessy
Dr. Suzy Maddah has 5 years of experience in applied ML. Currently, she works at Clemessy which specializes in designing, building, operating and maintaining production lines and energy flows. Suzy holds a PhD in mathematics with a focus on linear algebra, differential equations and symbolic computation.
What is a data scientist expected to know and do in the context of manufacturing and construction? What kind of data is collected and analyzed? What technologies are used? What does a typical day look like? And what are common pitfalls in such data science projects? This talk aims to give some answers, illustrated with data use cases, for newcomers and data scientists interested in industry 4.0.