Anatoly Sherman

Sick GmbH and Plattform Lernende Systeme

Anatoly Sherman is a head of business unit 3D compact systems, product management & applications engineering at SICK AG. Dealing with diverse innovative 3D camera sensing technologies and related software solutions for industrial use, in his daily business he works on providing intelligent sensing solutions for wide range of applications, e.g. in the field of logistics automation, robotics or mobile machines. Prior joining SICK, he worked in research and innovation fields at IBM Labs, PTB and Bosch Group. He holds a M.Sc. in Electrical Engineering from Technion in Israel and a Ph.D. in Physics from University of Hanover

Anatoly is speaking at

Application Track 3 - Data Driven AI solutions
November 5, 2020
12:00 pm - 1:30 pm

Speakers

  • Christoph Peylo (Chair) Global Head of Bosch Center for Artificial Intelligence, Bosch Center of Artificial Intelligence/Platform Lernende Systeme
  • Vivian Kiousi (Chair) Senior Business Innovation Manager / Head of Transport Lab, INTRASOFT International SA / Big Data Value Association
  • Axel Hahn (Speaker) Member of the Board; Chair Executive Board of Division Transportation, OFFIS – Institut für Informatik e.V. and Plattform Lernende Systeme
  • Rudolf Felix (Speaker) Managing Director, PSI FLS Fuzzy Logik & Neuro Systeme GmbH, Plattform Lernende Systeme
  • Anatoly Sherman (Speaker) Sick GmbH and Plattform Lernende Systeme
  • Yannis Theodoridis (Speaker) Professor, University of Piraeus
  • Tobias Jacobs (Speaker) Senior Researcher, NEC Laboratories Europe
  • Panos Georgakis (Speaker) Senior Lecturer, University of Wolverhampton

Description

Currently the transformation of the multimodal transportation ecosystem is happening now – changes are rapid and involve all modes of transportation. New players use the power of real-time data to offer personalized door-to-door travel and logistics services. At the same time there is an expressed need for an economical, flexible, safe, and more sustainable way to get from A to B by road, rail or water – using all available innovative ways since:

  •  in most EU countries entrants are challenging the existing transport practices and services naming them as unable to fully satisfy a never-ending demanding audience;
  • providers leverage the use of mobiles to create new relationships with travelers;
  • societies have to reduce their CO2 footprint, thus, sustainability becomes an important additional aspect of mobility and our mobility concepts;
Big Data, Data Issues and Artificial Intelligence can play an important part in achieving this vision.

Additional material supporting this session: 

Platform Lernende Systeme: on the way to intelligent mobility (here)
Platform Lernende System working group on Mobility and Intelligent Systems (here)

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