Panel Discussion: Industrial Digital Technologies (IDTs) adoption in the COVID Pandemic
A Swansea University led workshop on lessons learned in industrial digitalisation for a post-COVID era
The widespread adoption of industrial digital technologies (IDTs), including pervasive computing, sensors technologies and Artificial Intelligence (AI), is transforming our lives, business and the society. It has been estimated that AI could bring an additional $814 billion to the UK economy by 2035, leading to productivity improvements and increased efficiency in every industrial sector, from healthcare to automotive, energy, logistic and transportation.
Whilst the COVID pandemic has accelerated adoption of IDTs at both the organizational and industry levels, the widespread adoption of AI as a general-purpose technology in industry is still at its infancy and the full potential of AI is far from being realised.
Through her research in Transfer Learning for Robust, Resilient & Transferable Cyber Manufacturing, Dr Cinzia Giannetti is exploring novel Machine Learning (ML) techniques and developing innovative toolkits to stimulate effective adoption and integration of Artificial Intelligence (AI) and ML in industry.
In this session:
A panel, led by Dr Giannetti, will examine the challenges, successes and failures of the rapid adoption of Industrial Digital Technologies during the COVID Pandemic era and will invite participants to explore the lessons learned that can be carried forward.
There will be a series of short talks followed by a panel discussion.
Panel members include:
Alex Carr, Process Technology Specialist at Tata Steel Europe
Yew Onn Pang, Director – Engineering at Crown Technology
Sharadha Kariyawasam, Chief Innovation Officer at Vortex
Eugenio Borghini, Postdoctoral Researcher in Industrial AI, Swansea University