Preparing for  AI - Lessons from the Field with Theodoros Evgeniou

Preparing for AI - Lessons from the Field with Theodoros Evgeniou

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By learning from data in a fraction of the time of a human, artificial intelligence (AI) can make better decisions and forecasts for increasingly more and complex tasks.

If some early predictions are correct, AI has the potential to add $15 trillion to global output by 2030 and to double economic growth for many countries by 2035.

But, in order to realise this world-changing potential, individual businesses will need to implement AI across their processes, products, and services - and do so while balancing productivity with responsibility.

In this online lecture, INSEAD professor Theodoros Evgeniou will walk through some of the critical issues involved in AI implementation:

  • Improving your organisation’s data readiness
  • Finding and developing talent
  • Driving your organisation’s AI journey
  • Managing new risks (e.g. discrimination, unethical behaviour of AI, even jobs and health risks)
  • Managing the organisational changes associated with disruptive technology
  • Building an AI-savvy board.

We have also invited alumnus Karsten Wildberger, MBA’00J, COO and board member at E.ON to share his experience on driving AI implementation in the energy sector and Kay Firth-Butterfield, Professor of Law and Head of Artificial Intelligence and Machine Learning at the World Economic Forum, to discuss the work of the WEF on AI for boards and governance.

This webinar is a collaboration between INSEAD’s Lifelong Learning initiative and the TMT Network.

Event timing
12.00 (New York), 17.00 (London), 18.00 (Paris), 20.00 (Abu Dhabi), 00.00 Thursday (Singapore).

Times around the world are here.


Theodoros Evgeniou is a Professor of Decision Sciences and Technology Management at INSEAD. He has been working on Machine Learning and AI for more than 20 years, in areas ranging from Computer Vision, to Marketing, Healthcare, and Finance, among others. He has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as Master and PhD degrees in Computer Science. His interests focus on the broader topic of AI, business and society, working on areas ranging from AI and regulation to AI innovations for business process optimization and improving decisions as well as on new Machine Learning methods.

Karsten Wildberger

Karsten Wildberger is COO and member of the Board of Management of E.ON. He was born in Giessen, Germany and studied physics at the Technical University of Munich and at RWTH Aachen University. After a period of academic work at the Jülich Research Centre, he obtained a doctorate in theoretical physics from Aachen University. In addition, he obtained an MBA from the INSEAD Business School in Fontainebleau, France. Since April 2016, Karsten Wildberger has been a member of the Board of Management of E.ON SE.

Kay Firth-Butterfield

Kay Firth-Butterfield is a Barrister-at-Law and part-time Judge in the United Kingdom and Professor of Law and Head of Artificial Intelligence and Machine Learning at the World Economic Forum. She is an Associate Fellow of the Centre for the Future of Intelligence at the University of Cambridge and Fellow of the Robert E. Strauss Center on international Security and Law at the University of Texas. She is Vice-Chair of the IEEE Initiative on Ethical Considerations in AI and Autonomous Systems. She is one of Robohub’s top 25 Women in Robotics in 2017 and co-founded AI-Austin, AI-Global and the Consortium for Law and Policy of Artificial Intelligence and Robotics.

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