Technology Driven Change and Next Generation Insurance Value Chains (TECHNGI)
Lead Research Organisation:
Loughborough University
Department Name: Business and Economics
Abstract
Financial and insurance services contribute more than 7% of UK national income and over one million jobs, with around one third of this employment in insurance. London is the leading global centre for specialist commercial (re)insurance broking and underwriting, with a wide range of specialised skills that supported the writing of £60 billion of gross written premium in 2013. Exports of insurance and pension services were £17.6bn in 2016, some 7% of total services exports.
Our project investigates the opportunities and challenges for the UK insurance industry arising from the application of the new Ai technologies, including machine learning, distributed ledger, automated processing and the explosion of available data for business analytics and modelling including from social media and the connections emerging to the 'internet of things'.
We will explore the implications for the insurance industry of this wave of new digital technologies, with the support of many of the UK's leading insurance companies. We will identify and map the range of opportunities for AI based innovation in business processes and business models, across underwriting and risk analytics, claims processing and customer engagement. We will examine, through engagement with industry on business opportunities and challenges and through a range of case studies, the barriers to adoption and the enablers of change.
We will examine these barriers and enablers both from organisational and industry wide perspectives. At the organisational level we will examine the requirements for successful innovation ("critical success factors") and develop organisation wide assessments of their readiness for adoption. At the industry level we will examine new emerging ways of providing insurance services, including the possibilities for transformative change in insurance value chains, for example with separation of risk and underwriting from customer engagement, and the potential for sharing of services and data.
Finally from these organisational and industry investigations we will develop strategic and policy analysis and recommendations, identifying the steps required from firms and from policy makers to support the adoption of AI technologies and ensure that these support automation and efficiency gains in UK insurance industry and benefit insurance customers.
A distinctive feature of our project is our deep industry engagement, offering us the opportunity to engage with practitioners across the full range of business functions: in strategic roles; in specific business areas across product lines and operational processes; in risk analytics; and in technology. These contacts will support a range of case studies of the deployment of AI in insurance and also interview, survey and forum style empirical investigations to achieve the full understanding from both these organisational and industry perspectives.
Our project investigates the opportunities and challenges for the UK insurance industry arising from the application of the new Ai technologies, including machine learning, distributed ledger, automated processing and the explosion of available data for business analytics and modelling including from social media and the connections emerging to the 'internet of things'.
We will explore the implications for the insurance industry of this wave of new digital technologies, with the support of many of the UK's leading insurance companies. We will identify and map the range of opportunities for AI based innovation in business processes and business models, across underwriting and risk analytics, claims processing and customer engagement. We will examine, through engagement with industry on business opportunities and challenges and through a range of case studies, the barriers to adoption and the enablers of change.
We will examine these barriers and enablers both from organisational and industry wide perspectives. At the organisational level we will examine the requirements for successful innovation ("critical success factors") and develop organisation wide assessments of their readiness for adoption. At the industry level we will examine new emerging ways of providing insurance services, including the possibilities for transformative change in insurance value chains, for example with separation of risk and underwriting from customer engagement, and the potential for sharing of services and data.
Finally from these organisational and industry investigations we will develop strategic and policy analysis and recommendations, identifying the steps required from firms and from policy makers to support the adoption of AI technologies and ensure that these support automation and efficiency gains in UK insurance industry and benefit insurance customers.
A distinctive feature of our project is our deep industry engagement, offering us the opportunity to engage with practitioners across the full range of business functions: in strategic roles; in specific business areas across product lines and operational processes; in risk analytics; and in technology. These contacts will support a range of case studies of the deployment of AI in insurance and also interview, survey and forum style empirical investigations to achieve the full understanding from both these organisational and industry perspectives.
Planned Impact
WHO MIGHT BENEFIT FROM THIS RESEARCH?
Our research is designed for several different user groups:
(a) Staff working across the insurance value chain. Successful technology based business innovation involves changes in both business process and business models and hence (Stephenson 2018 ch 7) requires a combination of expertise: technological (AI and data science), business (responsible for engagement with customers and suppliers) and analytical (e.g. underwriting and risk pricing). Our research - the Delphi interviews in Phase A, the case studies in Phase B, the frameworks and solutions in Phase C - will directly support these staff by providing relevant knowledge and understanding.
(b) Techinsur startups or in new competing technology based challengers, e.g. major internet platforms, who need understanding the insurance value chain and the potential for AI and data technologies. They will particularly benefit from our Phase A mapping and our detailed Phase B case studies.
(c) Senior management in the industry need to shape an appropriate strategic response to this new emerging landscape. Our integrative workpackages in Phase B (WP4.1, WP4.2, WP5.1, WP5.2) together with our Phase C workpackage 6.3 on implementation frameworks are addressed to their needs.
(d) Regulators, compliance officers and policy makers want to support these technological changes, and where possible use them to better achieve regulatory objectives such as customer protection at less cost to the industry.
HOW MIGHT THEY BENEFIT FROM THIS RESEARCH?
Business line and technology staff in UK insurance can gain insight into the organisational and business challenges arising from the application of AI to their products and business processes. They will be able to learn best practice and the factors for successful innovation from our case studies and research based empirical investigations. Risk analytics staff may also benefit from better understanding the opportunities for data-based improvements in risk modelling and underwriting.
Insuretech entrepreneurs can gain from a better understanding, especially from our case studies, of the business requirements for successful new technologies.
Senior management can also gain strategic insight, in particular into changing business models, into the possibilities for co-operative effort to develop standards and supporting technology and for negotiating the potentially transformative impact of technology on the industry as a whole.
Policy makers and line staff in regulatory bodies can benefit from improved understanding of insurance business models and how they are affected by technological change; on recommendations and opportunities for better alignment of regulations with the new technologies; on developing policies for regulation of new business products and technology supported business models; and from understanding and supporting opportunities for using technology to support regulatory compliance
We offer all of these different user groups practical options for promoting the application of AI and data technologies in the UK insurance industry, in the short to medium term at the level of specific business process and over the longer term by influencing the strategic and policy decisions that shape future business models and support industry transformation.
Our research strategy, based on close engagement with our industry partners and co-production of research, provides assurance that our range of research outputs will be relevant to these targeted user groups and, if we do our job well, have the desired medium and long term impact on the future of the UK insurance industry.
Our research is designed for several different user groups:
(a) Staff working across the insurance value chain. Successful technology based business innovation involves changes in both business process and business models and hence (Stephenson 2018 ch 7) requires a combination of expertise: technological (AI and data science), business (responsible for engagement with customers and suppliers) and analytical (e.g. underwriting and risk pricing). Our research - the Delphi interviews in Phase A, the case studies in Phase B, the frameworks and solutions in Phase C - will directly support these staff by providing relevant knowledge and understanding.
(b) Techinsur startups or in new competing technology based challengers, e.g. major internet platforms, who need understanding the insurance value chain and the potential for AI and data technologies. They will particularly benefit from our Phase A mapping and our detailed Phase B case studies.
(c) Senior management in the industry need to shape an appropriate strategic response to this new emerging landscape. Our integrative workpackages in Phase B (WP4.1, WP4.2, WP5.1, WP5.2) together with our Phase C workpackage 6.3 on implementation frameworks are addressed to their needs.
(d) Regulators, compliance officers and policy makers want to support these technological changes, and where possible use them to better achieve regulatory objectives such as customer protection at less cost to the industry.
HOW MIGHT THEY BENEFIT FROM THIS RESEARCH?
Business line and technology staff in UK insurance can gain insight into the organisational and business challenges arising from the application of AI to their products and business processes. They will be able to learn best practice and the factors for successful innovation from our case studies and research based empirical investigations. Risk analytics staff may also benefit from better understanding the opportunities for data-based improvements in risk modelling and underwriting.
Insuretech entrepreneurs can gain from a better understanding, especially from our case studies, of the business requirements for successful new technologies.
Senior management can also gain strategic insight, in particular into changing business models, into the possibilities for co-operative effort to develop standards and supporting technology and for negotiating the potentially transformative impact of technology on the industry as a whole.
Policy makers and line staff in regulatory bodies can benefit from improved understanding of insurance business models and how they are affected by technological change; on recommendations and opportunities for better alignment of regulations with the new technologies; on developing policies for regulation of new business products and technology supported business models; and from understanding and supporting opportunities for using technology to support regulatory compliance
We offer all of these different user groups practical options for promoting the application of AI and data technologies in the UK insurance industry, in the short to medium term at the level of specific business process and over the longer term by influencing the strategic and policy decisions that shape future business models and support industry transformation.
Our research strategy, based on close engagement with our industry partners and co-production of research, provides assurance that our range of research outputs will be relevant to these targeted user groups and, if we do our job well, have the desired medium and long term impact on the future of the UK insurance industry.
Organisations
- Loughborough University, United Kingdom (Lead Research Organisation)
- IBM, United States (Collaboration)
- Z/Yen Group Limited, LONDON (Collaboration)
- Price Waterhouse Cooper (Collaboration)
- Willis Group (Collaboration)
- BGL Group Limited (Collaboration)
- Jaguar Land Rover (Collaboration)
- SCOR (Collaboration)
- Lloyds Bank (Collaboration)
Publications

Hendrikse R
(2019)
Strategic coupling between finance, technology and the state: Cultivating a Fintech ecosystem for incumbent finance
in Environment and Planning A: Economy and Space

Herbert, I
(2019)
Data Technologies and Next Generation insurance Operations
in Journal of Financial Transformation

Maull, R
(2019)
Emerging Risk Report 2019 - Taking control: Robots and risk

Milne A
(2020)
A Critical COVID-19 Economic Policy Tool: Retrospective Insurance
in SSRN Electronic Journal

Milne, A
(2020)
Automated Regulatory Compliance in Insurance

Milne, A
(2020)
Automated Regulatory Compliance in Insurance

Watson, J
(2019)
Summary; FCA Digital Regulatory Reporting Pilot Phase 1

Zarifis A
(2019)
Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models
in Emerald Open Research

Zarifis A
(2020)
Evaluating If Trust and Personal Information Privacy Concerns Are Barriers to Using Health Insurance That Explicitly Utilizes AI
in Journal of Internet Commerce
Description | • We review of application of AI and data technologies in the UK insurance industry and how these can impact on business processes and business model. We find that while substantial change in processes and business models is happening, many applications are relatively limited, for example supporting greater automation and efficiency in existing processes. • We find a broad consensus amongst leading users that AI is an umbrella term encompassing a variety of technologies with a wide range of potential applications. The term AI is often applied by practitioners even to technologies that do not involve learning. The firms actively employing these technologies have all developed a more nuanced understanding, breaking down the broad category into a number of more precise opportunities. • UK public policy discussion has been focused on the notion that AI is a nascent industry, like the internet commerce industries that emerged in the 1990s, and the UK needs to ensure that it is abreast of these technologies not to lose ground. We find that support for a contrary view, that these are techniques not technologies and that the principal business challenge is on building and implementing business processes using AI and data technologies, including accessing the required data, not the AI itself which is fairly standard. • We have investigated the varying ways in which incumbents are engaging both with the technologies and with startups. Engagement with startups is primarily commercially driven, what do they have that can benefit our existing business? The emphasis is on immediate practical application and also, if the engagement is of value, providing them with the skills and resources to help them scale. With regard to technology implementation, there are several factors that must be combined: useable data, operationalising the technology in business context, talent and regulatory compliance - it's never the technology on its own. |
Exploitation Route | We have found a substantial appetite across the UK insurance industry for independent research based insight into the adoption of artificial intelligence and data technologies. ideally we would see this research being taken forward through creation of a longer term institute or research centre for work on the digital transformation of UK insurance, perhaps industry funded or joint funded by industry and RCUK. |
Sectors | Digital/Communication/Information Technologies (including Software),Financial Services, and Management Consultancy,Government, Democracy and Justice |
URL | https://www.techngi.uk/ |
Description | Our conference, research outputs and webpages are being used by insurance firms in the relatively early stages of adoptoin of AI and data technologies in the their business, providing them with insight into the experience of adoption across the industry. |
First Year Of Impact | 2019 |
Sector | Financial Services, and Management Consultancy |
Impact Types | Economic |
Description | Techngi Industry Partner - BGL Group Limited |
Organisation | BGL Group Limited |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI and support of case study. Provision of resources over two year project (staff time and hosting of meetings). |
Impact | Attendance at quarterly meetings. Meetings with TECHNGI team. |
Start Year | 2019 |
Description | Techngi Industry Partner - IBM UK |
Organisation | IBM |
Department | IBM UK Ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI and support of case study. Provision of resources over two year project (staff time and hosting of meetings). |
Impact | Attendance at quarterly meetings. Bi-lateral meetings with team members. Focus group support. |
Start Year | 2019 |
Description | Techngi Industry Partner - Jaguar Land Rover Automotive PLC |
Organisation | Jaguar Land Rover |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Input from Company ceased due to business demands |
Impact | Input from Company ceased due to business demands |
Start Year | 2019 |
Description | Techngi Industry Partner - Lloyds, London |
Organisation | Lloyds Bank |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI and support of case study. Provision of resources over two year project (staff time and hosting of meetings). |
Impact | Attending quarterly partnership meetings. |
Start Year | 2019 |
Description | Techngi Industry Partner - Pricewaterhouse Coopers LLP |
Organisation | Price Waterhouse Cooper |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI and support of case study. Provision of resources over two year project (staff time and hosting of meetings). |
Impact | Attendance at quarterly meetings. Bi-lateral meetings. Case study development. |
Start Year | 2019 |
Description | Techngi Industry Partner - SCOR Global |
Organisation | SCOR |
Country | France |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI and support of case study. Provision of resources over two year project (staff time and hosting of meetings). |
Impact | Quarterly meeting attendance and contact with team member J Hillier |
Start Year | 2019 |
Description | Techngi Partner - Z/Yen |
Organisation | Z/Yen Group Limited |
Country | United Kingdom |
Sector | Private |
PI Contribution | Engagement with industry to determine implications of AI within Insurance Sector |
Collaborator Contribution | Insight into application of AI within insurance industry. |
Impact | Attendance at quarterly meetings. |
Start Year | 2019 |
Description | Techngi industry partner - Willis Towers Watson |
Organisation | Willis Group |
Department | Willis Research Network |
Country | United Kingdom |
Sector | Private |
PI Contribution | Research team has fully engaged with Partner and work collaboratively to ensure specific tasks are completed. Team engage with Partner to determine objectives and outputs. |
Collaborator Contribution | Partner has made significant contributions to supporting research project. Provision of venue in London office to hold TECHNGI conference, provision of staff time to organise event, provision of videographer, provision of refreshments at event at reduced cost. Advertising and associated PR of event to Willis network. Commitment of role as Partner to group. |
Impact | Huge attendance at the Techngi conference hosted by Willis. Total of 300+ attendees from industry. Prompted many more to make contact with group. |
Start Year | 2019 |
Description | A Milne - FinTech |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | A Milne - initial engagement with FinTech |
Year(s) Of Engagement Activity | 2019 |
Description | A Milne Meeting with RegTech Council FCA & PRA |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | A Milne attends meeting to ascertain views of industry. |
Year(s) Of Engagement Activity | 2019 |
Description | A Milne co-hosting round table at Global Insuretech CXO forum |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | 2. Alistair Milne co-hosting a roundtable at the Global Insuretech CXO Forum, sponsored by EXL. https://fintech.global/globalinsurtechsummit/agenda/ Audience 20. Date 4th March 2020 |
Year(s) Of Engagement Activity | 2020 |
URL | https://fintech.global/globalinsurtechsummit/agenda/ |
Description | A Milne meeting with EXL Services to discuss adoption of AI in insurance (19/02/2020) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | 1. Alistair Milne with EXL services, a leading technology consultancy specialising in insurance and health care. Discussed adoption of AI in insurance. |
Year(s) Of Engagement Activity | 2020 |
Description | A Milne meeting with Willis Towers Watson staff to discuss Digital Technology and RegTech in insurance industry (20/03/2020) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | 3. Alistair Milne , conference call with 4 staff member of Willis Towers Watson to discuss Digital Technology and RegTech in the insurance industry Date March 20th, 2020 |
Year(s) Of Engagement Activity | 2020 |
Description | Article published in 'The Conversation' - A Zarifis 31/01/2020 |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Article within business sector highlighting impact on AI and insurance for Tesla drivers. |
Year(s) Of Engagement Activity | 2020 |
URL | https://theconversation.com/why-is-tesla-selling-insurance-and-what-does-it-mean-for-drivers-130910 |
Description | C Holland - Article published in Willis Towers Watson Newsletter (Nov 2019) |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Article by C Holland |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.willistowerswatson.com/en-GB/Insights/2019/11/artificial-intelligence-ai-and-emerging-bu... |
Description | C Holland - InsureTech matchmaking event hosted by AI for Services (30/01/2020) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | C Holland presented on Panel and discussed ideas with six Insurance start ups at event hosted by AI for Services. |
Year(s) Of Engagement Activity | 2020 |
Description | C Holland attends UK Westminster Forum, London |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | C Holland attends discussion 'Competition in the Digital Economy', UK Westminster Forum, London (10/09/2019) |
Year(s) Of Engagement Activity | 2019 |
Description | C Holland meeting with BGL Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | C Holland meets with BGL to provide briefing on AI. Productive discussion to clarify current AI assumptions. |
Year(s) Of Engagement Activity | 2019 |
Description | C Holland meeting with Dr J Taylor, Pricewaterhouse Coopers |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | C Holland meets J Taylor to plan position paper on development of AI in Insurance. |
Year(s) Of Engagement Activity | 2019 |
Description | Conference on artificial intelligence with Willis Towers Watson |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | great day, lots of interest |
Year(s) Of Engagement Activity | 2019 |
Description | EIOPA Conference, Frankfurt 08/10/2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | C Holland attends EIOPA Conference. Prompts debate and gauges common issues within industry sector. |
Year(s) Of Engagement Activity | 2019 |
Description | IBM Focus Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Workshop to gauge industry needs. |
Year(s) Of Engagement Activity | 2019 |
Description | InsTech Conference - Emerging platforms and eco systems, London 22/10/2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Attendance to gain insight into core topics for Phase A. |
Year(s) Of Engagement Activity | 2019 |
Description | Insurtech Europe Conference, London 14/10/2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Presentation to industry by MVM and TR |
Year(s) Of Engagement Activity | 2019 |
Description | Interview with Alistair Milne on Willis Towers Watson Research Network website |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Spotlight on Alistair Milne - interview by Willis Towers Watson, London |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.willistowerswatson.com/en-GB/Insights/2019/12/willis-research-network-spotlight-series-a... |
Description | Lloyds London - Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Initial debate and questions to determine Phase A |
Year(s) Of Engagement Activity | 2019 |
Description | Lloyds workshop (24/04/2019) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | TECHNGI group attend Lloyds workshop to exchange ideas and debate initial research issues. |
Year(s) Of Engagement Activity | 2019 |
Description | M Van-Meeteren and J Hillier meting with Broughtbymany |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Group memebers meet with Broughtbymany as interview for case study |
Year(s) Of Engagement Activity | 2019 |
Description | Meeting with FCA - Financial Conduct Authority |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Initial meeting to discuss remit of research and gauge opinion |
Year(s) Of Engagement Activity | 2019 |
Description | Meeting with Head of Digital Artificial intelligence, AXA ML |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Meeting with influential industry contact to gain further insight into industry view. |
Year(s) Of Engagement Activity | 2019 |
Description | T Rubin - meeting with Lloyds Data Lab to discuss incubators case (06/02/2020) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | T Rubin - useful meeting to plan Insurance specific start ups and incubators with view to Phase B in-depth case study. |
Year(s) Of Engagement Activity | 2020 |
Description | Techngi Industry Partner - ABI |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | ABI join TECHNGI quarterly Partner meetings |
Year(s) Of Engagement Activity | 2019,2020 |
Description | Techngi Quarterly Partner meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Quarterly partner meeting. Industry Partners include Lloyds Data Lab, Z/Yen Group, ABI, BGL Group Limited, Pricewaterhouse Coopers LLP, SCOR Global, Willis Towers Watson Limited, IBM Global Markets. Discussion of research focus, issues and report of work completed within each Phase. |
Year(s) Of Engagement Activity | 2019,2020 |
Description | Techngi social media accounts |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | TECHNGI social media accounts set up. These run alongside the TECHNGI website and provide updates on TECHNGI events, publications and blogs. |
Year(s) Of Engagement Activity | 2019 |
URL | https://twitter.com/techngi?ref_src=twsrc%5Etfw%7Ctwcamp%5Eembeddedtimeline%7Ctwterm%5Eprofile%3Atec... |
Description | Techngi website |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | TECHNGI website created to inform industry of events, publications and updates regarding research. |
Year(s) Of Engagement Activity | 2019 |
URL | http://www.techngi.co.uk |
Description | Willis Towers Watson Research Network - Annual Report 2019 |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | file:///C:/Users/cvjw17.LUNET/AppData/Local/Microsoft/Windows/INetCache/Content.Outlook/ONNUJ2GX/WRN-brochure-october-2019%20(002).pdf |
Year(s) Of Engagement Activity | 2019 |