AI for Services: Insurtech Matchmaking Event
Posted on 08/11/2019
AI for Services, in partnership with Early Metrics, is hosting an exclusive Insurtech Matchmaking event on Thursday 30th January in London. This session will offer innovative AI & Data start-ups the opportunity to meet leading organisations and commercial partners in the insurance sector to help them solve their R&D challenges. Confirmed participants include Axa, Brit, Bupa, Dai-chi Life, Ecclesiastical and Nissay.
The event will take place from 17:30 – 20:30 on Thursday 30th January in London, Moorgate. Up to 20 of the most innovative companies who apply to attend will be invited to meet with established insurance firms for an evening of facilitated networking.
If you are a startup or SME interested in attending, please complete the application form by Friday 20th December. Before submitting your application, please read the background information below and ensure you answer the questions in full. Applicants will be selected based on their level of innovation and ability to solve the partners’ challenges which will soon be published.
The insurance sector represents some of the largest opportunities for innovation, with the potential for around £50 billion worth of revenue to be disrupted in the UK insurance market. As stated in the World InsurTech Report published by CapGemini and Efma in October 2019, “To deepen customer relationships, insurers will have to collaborate more with InsurTechs who are already mastering the customer experience by leveraging the most innovative technologies and use of data.” Anirban Bose, CEO of Capgemini’s Financial Services Strategic Business Unit and Group Executive Board member.
This matchmaking event will open the doors for leading insurance firms to connect with disruptive AI and Data startups. The session will showcase the use of AI & Data Technologies for:
- personalisation and enhancement of products and services
- optimisation and automation of processes including claims handling and underwriting
- fraud and anomaly detection
- forecasting and risk modelling
- augmented customer experience (chatbots, virtual assistants, etc.)
- access and analysis of unstructured data