Leveraging data and AI to transform the customer experience and deliver operational efficiencies

Overcoming the operational challenges to use data, analytics and AI to rethink customer journeys, deliver better outcomes and reduce costs

The Gherkin

Free to attend    |    Only 15 places

Overview

Before insurers can realise the potential of AI and advanced analytics to increase market share, meet rising customer expectations and enable profitable growth, they have to address key challenges arising from poor data quality and governance, disparate data sets on legacy technology, and manual processes beset by bottlenecks and frictional costs.

This breakfast briefing will explore how insurers can improve customer interactions while streamlining operations through smarter use of customer data, governance and AI.

Hear from those leading this transformation and join a candid and lively discussion with your peers about what’s working, what’s not and how to overcome the operational barriers.

Topics to be discussed include:

  • Using AI to accelerate customer service
    How to apply AI to interrogate customer documents and extract actionable insights - speeding up claims, policy queries and service interactions
  • Centralising unstructured data to improve access and governance
    Developing an effective data strategy to consolidate customer interactions across business applications, improving access while maintaining regulatory compliance
  • Modernising legacy workflows and reducing operating costs
    Real-world approaches to streamline document-heavy processes and eliminate inefficiencies in claims and customer servicing
  • Balancing innovation with compliance in an AI-enabled world
    Navigating the tensions between innovation, compliance and AI adoption in regulated environments

 Speakers

A picture of Sindy Yick
Sindy Yick
Deputy Director of Machine Learning
Markerstudy

 

  • 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 Presentation

Overcoming the key data challenges to transform operations and customer service through AI

  • Assessing data maturity in a large complex organisation with different business units

  • Prioritising initiatives to drive real business benefit from the data strategy

  • Leveraging data to drive traditional analytics and AI initiatives within the customer journey
  • How will these capabilities be deployed in the future?

 Speakers

A picture of Sindy Yick
Sindy Yick
Deputy Director of Machine Learning
Markerstudy

09.05 Roundtable discussions & feedback

10:00 Close

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