Vice President, BDVA / Insight / NUI Galway
Edward is a researcher at the Data Science Institute at NUI Galway, leads a research unit on Open Distributed Systems, and is a member of the Executive Management Team of the Institute. Edward has made contributions to semantic technologies, incremental data management, event processing middleware, software engineering, as well as distributed systems and information systems. He combines strong theoretical results with high-impact practical applications. Edward is author/co-author of over 180 peer-reviewed scientific publications. Edward is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community, has built consensus on a joint European big data research and innovation agenda and influenced European data innovation policy to deliver on the agenda.
Ed is speaking at
This track will bring together leading initiatives that are paving the way for what could become functional implementations of European-governed data sharing spaces. For Europe to compete at an international level, its smaller but highly diversified data producers need to join forces. The European Data Strategy outlines a roadmap to enable and realise data sharing spaces as a means to power up AI in Europe by increasing access to data. The longterm vision is for an initial number of sector-based data sharing spaces to interoperate. The need to comply with European values, ethics and legislation when handling data should not be considered restrictive, but as a safeguard for risk-free data sharing that encourage increased participation. In this track, we want to move beyond the ‘What’ and consider ‘How’ all this can be achieved through convergence and standardization efforts by projects, organisations and other entities possessing the right technical know-how, experiences and commitment.
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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