Feiyu Xu

Global Head of Artificial Intelligence, SAP, SAP

Dr. Feiyu Xu is Vice President, Global Head of Artificial Intelligence, at SAP. Feiyu has in-depth knowledge and extensive experience in the areas of AI platform development, conversational AI, knowledge graphs, information extraction, business intelligence, and big-data text analytics. Through her various functions, she has obtained broad and in-depth experience of the total cycle of innovation in her expert areas – ranging from basic research via AI development all the way to products and their commercialization. Before joining SAP, Feiyu was Vice President of Lenovo Group, Head of AI Lab at Lenovo Research, from March 2007 to March 2020. Under her leadership, the AI Lab has been conducting R&D in the fields of natural language processing, voice technology, computer vision, machine learning, and smart data. She designed and led the Lenovo overall AI technology strategy, and she was acknowledged for substantial contributions to the intelligent transformation of Lenovo. During her employment at Lenovo, she was based in Beijing. Prior to Lenovo Group, Feiyu was Principal Researcher of the German Research Center for Artificial Intelligence (DFKI), leading the research group of text analytics in the Language Technology Lab, based in Berlin. Besides, she was co-founder and general manager of Yocoy Technologies GmbH, a DFKI spin-off company founded in 2007. In 2013, she won a Google Focused Research Award for her contribution in the field of natural language processing. One year later, she was awarded the honor of DFKI Research Fellow, the highest distinction for researchers at DFKI. As of now, Feiyu has published more than a hundred research papers. Many of them at top-level NLP/AI conferences. She also served as a workshop, program, section chair for various international conferences. Feiyu studied technical translation at Tongji University in Shanghai. She then studied computational linguistics at Saarland University and graduated by receiving a Diploma (MSc) with distinction. Her PhD-Thesis was in the area of Applied NLP. In 2015, Feiyu completed a habilitation in big-data text analytics. 2019, Feiyu was selected by Forbes China 2019 to the List of Top 50 Women in Tech. At Global AI Application Product Expo 2019, she was honored as one of the Top 10 Persons of the year in Chinese Artificial Intelligence.

Feiyu is speaking at

Application Track 4 - Autonomous systems
November 4, 2020
4:00 pm - 5:30 pm

Speakers

  • Frank Kirchner (Chair) Executive Director DFKI/Professor, DFKI/University of Bremen/Platform Lernende Systeme
  • Anibal Ollero (Chair) Full Professor, Universidad de Sevilla/euRobotics
  • Wolfram Burgard (Speaker) Toyota Autonomous Driving chair & University Freiburg
  • Isabel Pozo (Speaker) VP Head of Airspace Management, Airbus
  • Feiyu Xu (Speaker) Global Head of Artificial Intelligence, SAP, SAP
  • Kean Liu (Speaker) General Manager, CRRC Zhuzhou Institute
  • Sigang He (Speaker) Europe Chief Adviser, CRRC Zhuzhou Institute

Description

This track addresses the current challenges that arise at the interface between Big Data and autonomous systems for industry and the development of autonomous systems. Especially the interface between data infrastructures, data access and data sharing on the one hand and autonomous systems or robots on the other:
  • What are the biggest challenges in terms of Big Data and robotics (e.g. real-time data streams and latency)?
  • Which data infrastructures are needed to support the development of interactive, context aware, adjustable, learning autonomous systems?
  • How can improve access to data to advance the development of autonomous systems?
  • Do we need more cooperation regarding large amounts of data for autonomous systems and how can we foster cooperation?
In order to meet these challenges, questions arise regarding options for action and the development of strategies:
  • How can research and development help the industry?
  • How can a European way be developed to strengthen AI and autonomous systems and strengthen Europe's position in international competition?
  • Which industrial strategy is necessary for Europe and what could it look like?
To discuss these challenges and issues, the track will bring together industry representatives from the US, China and the EU and robotics researchers.

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