Virtual Conference on Artificial Intelligence and Insurance
The TECHNGI research project at Loughborough University invite you to the first session of our Artificial Intelligence and Next Generation Insurance Services Conference 2021/22, supported by the Willis Research Network, taking place 14:00 – 16:00 on Thursday, December 2nd, 2021.
The TECHNGI project at Loughborough University TECHNGI – Technology driven Next Generation Insurance has been conducting research on artificial intelligence (AI) in insurance for the past two and half years. Our project has been examining insurance industry experience with employing AI, building a core base of knowledge on the broader challenges of adoption, including the implication for business models and the organisational and public policy challenges.
This online conference will be delivered across four separate themed sessions. We will draw on the insights of the project, bringing together a range of perspectives on the business application of Artificial Intelligence (AI) and its role in the ongoing digital transformation of the insurance industry.
The conference sessions will feature a mix of leading university researchers and industry practitioners participating as both presenters and panellists. We look forward to welcoming you to a stimulating afternoon of open debate and insightful discussion.
AI and Digital Ethics in Insurance Markets: International Perspectives – 2nd December 2021, 14:00 – 16:00Keynote speaker; Prof M Mullins (Limerick)
Data – 13th January 2022, 14:00 – 16:00Featuring Jason Garforth (IBM), George Zarkadakis (Willis Towers Watson), Alistair Milne (Loughborough)
AI Start ups and industrial strategy – 3rd February 2022, 14:00 – 16:00Featuring Ed Gaze (Lloyds Data Lab), Tzameret Rubin (Loughborough)
AI strategy and business models – 10th February 2022, 14:00 – 16:00Featuring Andy Yeoman (Concirrus), Chris Holland (Loughborough)
The conference is the closing conference of the TECHNGI research project It is hosted by Loughborough University and Willis Towers Watson and funded from the UK Government Industry Challenge Fund’s Next Generation Services program.