Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Is it possible to regulate machine learning? Dream versus R&D (sponsored by AXA)

12:0512:45 Wednesday, 1 May 2019
Location: Capital Suite 4
Average rating: ****.
(4.60, 5 ratings)

What you'll learn

  • Explore the promise and challenges of machine learning


Machine learning today can outperform humans in certain tasks. This exceptional performance is driving what’s being called the “fourth industrial revolution.” This quick transformation is provoking reasonable concerns. International bodies, regulators, and large corporations are trying to answer by producing guidelines and declarations. But some of the underlying challenges are not even well understood.

Marcin Detyniecki offers an overview of the machine learning backend and its possible applications for the insurance business and other businesses based on the power of research merged with business. Marcin explores some of the promises of machine learning, sheds some light on technical challenges still to be faced, and explains what’s being done to address them.

This session is sponsored by AXA.

Photo of Marcin Detyniecki

Marcin Detyniecki


Marcin Detyniecki is senior R&D officer at the Data Innovation Lab at AXA, a professor at the Polish Academy of Science (IBS PAN), and an associate researcher at the computer science laboratory LIP6 at the University Pierre and Marie Curie (UPMC). His research focuses on the emerging challenges of big data. He’s also worked on the usage of new media, with challenges ranging from multimedia information retrieval to image understanding. Several of his developed applications have been deployed in the market, and many were singled out in international competitions such as TrecVid, ImageClef, and MediaEval. Previously, he was a research scientist at the French National Center for Scientific Research (CNRS), a researcher at the University of California at Berkeley and at Carnegie Mellon University (CMU), and a visiting researcher at the University of Florence and at British Telecom Research labs. He’s member of the research and academic council at UPMC, a member of the executive board of SMART Lab, an elected member of the LIP6 laboratory council, and a member of the editorial board of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJFUKS). He also funded and participated in the UPMC – Sorbonne Universités Computer Science Colloquium. He has over 90 publications in journals and conference proceedings, including six keynotes. Marcin studied mathematics, physics, and computer science at UPMC in Paris and holds a PhD in artificial intelligence from the same university.