Ernestina Menasalvas

Profesor, Universidad Politecnica de Madrid

Ernestina is speaking at

Application Track 2 - Health
November 4, 2020
12:00 pm - 1:30 pm

Speakers

Description

This session gives a high level view of AI in Healthcare whitepaper written by Healthcare subgroup, Application Task Force of BDVA. The whitepaper gives a viewpoint of European stakeholders on AI in healthcare. It documents the outcome of a literature study, online survey and a physical workshop with healthcare experts of BDVA community covering academia, industry and government.

During the webinar, the following topics will be addressed:
  • Importance and key areas of AI in Healthcare
  • Technical and non-technical challenges
  • Enablers, vision and future potential of AI in Healthcare
  • Successful use cases

Focus Track 4 - New challenges ahead: Data, AI and the new Society
November 4, 2020
3:30 pm - 4:30 pm

Speakers

  • Ed Curry (Parallel session chair) Vice President, BDVA / Insight / NUI Galway
  • Ernestina Menasalvas (Parallel session chair) Profesor, Universidad Politecnica de Madrid
  • Artur Romão (Speaker) Director, Innovation and Development, DECSIS
  • Rocco Defina (Speaker) Managing Partner, OXYS Computing
  • Silvia Merisio (Speaker) Policy Officer at DG Connect European Commission, European Commission
  • Niels Linden (Speaker) Senior Director, Capgemini Invent
  • Mary Cleary (Speaker) Secretary General, Irish Computer Society, Irish Computer Society

Description

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.

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