Parallel session on Data and AI Skills for Society: The Interactive Debate

The rise of Big Data has caused a huge demand of data analysts, data scientists, data engineers and data-savvy business executives. As AI becomes transformational across end-markets from enterprise to consumer platforms, from cybersecurity to robotics, the demand for data scientists is growing exponentially. Universities across the world are rising to meet this demand with new degrees and courses. However, the unprecedented demand for data science talent is creating a considerable gap between the demand and supply of data scientists.  A recent article in the New York Times estimated that only 10,000 people worldwide have the skills necessary to tackle serious AI research.

The objective of this session is to discuss the evolving nature of Data Science skills needed to deal with Big Data and AI technology. The session will enable a diverse group of cross disciplinary big data and AI stakeholders to network to discuss challenges and opportunities for Europe in Data Science Skills. The outcome of the session will support the Partnership on AI, Data and Robotics and the larger audience by gaining further information from stakeholders about the challenges for data science and AI skills. As a result of the three interactive debate questions, we will have an overview of the evolution, future role and skills required by data scientists, organisations and the wider society. We will have insight on the lessons learnt from the broader introduction of computer science skills into society.