Mastercourse 'Data Innovation beyond the Hype' - The opportunities and challenges of fleet-based analytics

The mastercourse 'Data Innovation beyond the Hype' held by the Data and AI Competence Lab of Sirris (EluciDATA Lab) provides pragmatic and industry-oriented sessions on data-driven innovation. The mastercourse cycle consists of six general sessions covering the different steps of the data science workflow. Additionally, the Lab has developed a set of new topic specific sessions focusing on industrial applications of data science and artificial intelligence .

In this session 'The opportunities and challenges of fleet-based analytics', participants will learn about state-of-the art techniques for analysing fleets of assets, such as industrial machinery or vehicles. The goal of the session is to introduce techniques for solving common problems faced by fleet operators:

• identifying malfunctioning or underperforming assets
• dealing with lost data connections and missing data
• benchmarking assets against one another
• identifying remaining useful life of assets
• modelling new assets that lack historical data
• In each case, the fleet context provides additional insights that can help you improve operational efficiency of your assets. Techniques are introduced at conceptual and intuitive level with practical real-world examples.