Successfully deploying AI in the London market

Overcoming the operational challenges to successfully move from proof of concept to production

The Gherkin

Free to attend    |    Only 15 places

Overview

Recent studies show that only 6% of AI proof of concepts (PoCs) in insurance make it into production, and that the few that make it are extremely difficult to scale across the business. As well as the time and financial costs associated with this poor performance, it also damages the prospects for AI adoption: future initiatives may be reviewed or cancelled in light of the lack of ROI.

Through better planning, careful consideration of the operational challenges and a rigorous, holistic implementation strategy, you can increase the percentage of successful PoCs in your organisation.

This breakfast briefing will specifically look at three areas to ensure your AI initiatives are successful:

1) Building the POC business case

2) Overcoming the operational, people and process challenges

3) Developing a rollout plan that achieves ROI

You’ll hear a case study of a successful London market POC and how it was implemented before participating in roundtable discussions to uncover best practices with your peers.

Topics to be covered include:

  • What areas of insurance in the London market will you never be able to use AI for?
  • Building a business case that takes into account the total cost of ownership
  • Key criteria for a successful implementation plan
  • Ensuring leadership and sponsorship from the top to drive adoption

 Speakers

Matthew Hodgson
Head of Data Science
Hiscox London Market
Monika Delekta
Principal Data Scientist
Hiscox London Market

 

  • Takes place in the private dining rooms at the top of the Gherkin
  • Only 15 industry practitioner places are available
  • Hear the case study then participate in the Q&A

    

AGENDA
08:00 Registration, tea and coffee
08:15  Breakfast of your choice with views over the city
08:40 Introduction by the chair
08:50 Presentations

CASE STUDY: Overcoming the operational challenges to deliver faster, smarter AI-driven underwriting 

  • Assessing where the POC could be applied

  • Leveraging LLMs to automate risk assessment to cut time from submission to quote

  • Generating automatic emails with data for brokers that minimises manual interventions and improves speed and communications 

  • Bringing your people along on the journey
  • Broadening the scope of AI-driven capabilities across other lines to deliver further efficiencies in the future

 

 Speakers

Matthew Hodgson
Head of Data Science
Hiscox London Market
Monika Delekta
Principal Data Scientist
Hiscox London Market

09.05 Roundtable discussion & feedback

10:00 Close

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