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SUMMARY:Collaborative Analytics and Education in Data Science - Martin Spo
 tt (HTW Berlin)
DTSTART:20191204T140000Z
DTEND:20191204T150000Z
UID:TALK134998@talks.cam.ac.uk
CONTACT:J.W.Stevens
DESCRIPTION:AI and machine learning are on a path to becoming a commodity\
 , at least according to the AI industry. Their automated model building pl
 atforms enable a lay person without AI knowledge to upload data and retrie
 ve AI models. However\, such platforms typically only automate structurall
 y simple and well defined problems like regression\, classification or clu
 stering. In other words\, they only help us\, if we already know what the 
 problem is.\n\nLarge industrial analytics problems on the other hand are o
 ften initiated by a high level question like “How can we reduce the numb
 er of faulty cars we produce?” Such problems require an analytical explo
 ration in a large team of engineers\, technicians and researchers working 
 in different disciplines across different departments.\n\nThe 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 abl
 e to help address the challenges and facilitate the analytical collaborati
 on between groups of analysts and computers. Rather than provide all the a
 nswers\, the idea of the seminar is to trigger a discussion of the problem
 s and possible solutions.\n\nThe second part of the talk is concerned with
  education in data science. Given the possibilities of digital media\, Mar
 tin questions the current static sequential format of teaching material an
 d textbooks. His observations apply more generally to scientific publicati
 ons as well as reports of analytical projects in industry which links back
  to collaborative analytics.     \n\nAbout the Speaker: Martin completed h
 is Master in Maths and Computer Science followed by a PhD in AI from Karls
 ruhe University (KIT). After this Martin spent 15 years at BT Research Lab
 s in Ipswich working on AI algorithms and their application. As Chief Anal
 ytics Researcher\, he left BT in 2016 to become a Professor for Data Scien
 ce at HTW Berlin. He is currently on a sabbatical at CCIMI.
LOCATION:MR14\, Centre for Mathematical Sciences
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