Collaborative Analytics

AI and machine learning are on a path to becoming a commodity, at least according to the AI industry. Their automated model building platforms enable a lay person without AI knowledge to upload data and retrieve AI models. However, such platforms typically only automate structurally simple and well defined problems like regression, classification or clustering. In other words, they only help us, if we already know what the problem is.

Large industrial analytics problems on the other hand are often initiated by a question at a very high level like “How can we reduce the number of faulty cars we produce?” They are about an analytical exploration in a large team of engineers, technicians and researchers working in different disciplines across different departments.

The seminar will take you through such a large analytics problem and discuss the practical challenges of solving it. The big question is how maths and AI may be able to help address the challenges and facilitate the analytical collaboration between groups of analysts and computers. Rather than provide all the answers, the idea of the seminar is to trigger a discussion of the problems and possible solutions.

About the Speaker: Martin completed his Master in Maths and Computer Science followed by a PhD in AI from Karlsruhe University (KIT). After this Martin spent 15 years at BT Research Labs in Ipswich working on the application of AI (Chief Analytics Researcher), and since 2016 has been a Professor for Data Science at HTW Berlin.

Please note that there will be some filming throughout this seminar, for use in a short film giving an overview of the CCIMI . Please get in touch if you have concerns over this or want to avoid footage of yourself being included in the final video.

• Speaker: Prof. Martin Spott, HTW Berlin
• Wednesday 29 August 2018, 14:00–15:00
• Venue: tbc Centre for Mathematical Sciences.
• Series: CCIMI Seminars; organiser: Rachel Furner.