Your web browser is out of date! We recommend you update your browser to receive the best possible browsing experience.
Download your Brochure
Reserve your place

An agenda designed to tackle the biggest opportunities and challenges in AI and machine learning

Day 1 - Monday, October 9th - 9am-7pm
Day 2 - Tuesday, October 10th - 9am-4pm


08:30 - 09:00

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

08:30 - 09:00
Track the evolution of predictive and advanced analytics into machine learning
  • Define the nuances of deep learning, machine learning, artificial intelligence and robotics
  • Hear concrete examples of practical applications of AI in insurance, and other industries
  • Becoming a truly modern insurer: Exploit the forward-looking nature of AI to predict future developments, optimise procedures and automate processes
  • Are we seeing predictive analytics being re-labelled as machine learning? Are we truly talking about artificial intelligence in these cases, or just clever analytics?
  • Debate the likely timescales of industry-wide, company-wide adoption of machine learning and AI and make sure you don’t miss the boat

allianz Andreas Braun Head, Global Data & Analytics Allianz

intellect_seec Lakshan DeSilva Chief Technology Officer & Partner Intellect SEEC

celent Craig Beattie Senior Analyst, Insurance Celent

08:30 - 09:00
Sponsored Keynote Presentation from IBM

IBM Noel Garry European Insurance Leader, Watson Financial Services Solutions IBM

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Fast-track claims handling: Make automated claims work for you
  • Practical examples of using machine learning to speed up claims process: See how insurers are already using images, sensor data and historical data to assess severity of the damages and predict repair costs
  • Put the customer experience front and centre: Fast-track claims, reduce handling costs, whilst enhancing the customer experience
  • Get the edge over traditional predictive models, which only leverage structured data, by loading your claims data, both unstructured and structured, into a data lake or warehouse
  • Employ analytics to ensure that the right adjustor, the right information and the right adjustments are being made in your claims department
  • Understand claimant behaviour and where the claims process is going right and wrong – determine when it is relevant for a human to review claims and when it makes sense to automate

AIG Simon Gallimore VP of Casualty Claims, UK AIG

Gjensidige Joachim Lund Head of Data Warehouse, Analytics, Technology and Development Gjensidige

08:30 - 09:00
Use machine learning to price more accurately, boost profitability and sharpen your competitive edge
  • Utilise unstructured data from a wide variety of sources, like social media, and deploy machine learning to make better pricing and underwriting decisions
  • Explore new tools and techniques for pricing optimisation: Go beyond predictive analytics and use more accurate neural networks to optimise price, in real-time at the point of sale
  • From the back of the envelope to the cloud: Discover how to develop a leading analytics practice leveraging the best of traditional and modern analytics
  • Hear new methods for understanding your customer to better assess and price risk - Will robotics result in underwriting becoming fully automated? Or will algorithms always require human supervision?
  • Find out how to augment manually-driven underwriter judgements with automated routines that drive consistency and provide previously unknown insights

LV= Pardeep Bassi Head of Data Science LV=

Argo Group International Holdings, Ltd. Kenny Holms Head of Predictive Analytics Argo Group International Holdings, Ltd.

NFU Mutual (panel) Iain Farquharson Head of Pricing NFU Mutual (panel)

08:30 - 09:00
Case-Study: AI-Based Life & Health Insurance Platforms
  • Get insights into the latest trends in AI and Lifestyle based insurance platforms, including Health Scoring, Lifestyle Navigation & Gamification
  • Adapt to a world where premiums will be based on a Pay-As-You-Live (PAYL) model and give consumers a better understanding of their health
  • See how AI can be deployed to improve, or maintain, a healthy lifestyle and the direct economic impact on their quality of their life

Dacadoo Peter Ohnemus President and CEO Dacadoo

05:30 - 07:00
Networking Lunch Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Exploit AI and machine learning to drive operational transformation, reduce turn-around times, lower costs and improve productivity
  • From claims to underwriting, where can you use machine learning? How do you take your first steps into a new digital “normality”?
  • Explore how natural language processing, speech recognition, chatbots and roboadvisors will drive operational efficiencies on the customer journey; respond faster and resolve queries and complaints first time
  • Gain a competitive advantage by using AI and machine learning to better analyse unstructured data, recognise market changes and forecast optimal responses
  • Ensure your AI dreams come to fruition: Integrate machine learning and neural networks into your current management infrastructure do you need a Chief AI Officer?
  • Consider the opportunities presented by AI from the perspective of the customer and the newly-rejuvenated augmented agent
  • Is AI an opportunity to reduce your workforce as tasks are digitised?

PNB Metlife Zia Zaman CEO, Lumen Lab & Chief Innovation Officer PNB Metlife

Helvetia Versicherungen Gruppe Daniel Litscher Head of Business Analytics Helvetia Versicherungen Gruppe

Generali Alexandrina Scorbureanu Head of Financial Management - Group Chief Information & Digital Officer Generali

Swiss Re Corporate Solutions Ltd. Anthony Barker Head Claims Operations EMEA Swiss Re Corporate Solutions Ltd.

08:30 - 09:00
Interactive Roundtable Discussions

This session is an opportunity to benchmark across your industry, network with your closest peers at the event and gain targeted, relevant insight to take back to your team.

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Harness AI to recognise customer prospects and evaluate the propensity for digital services
  • Discover how AI can generate better communication and better service to your customers
  • Classify customers more effectively to deliver a more specialised customer experience
  • Get tips on using AI to develop a digital ecosystem of services that go beyond insurance
  • Use AI and ML for customer analysis and recognition: Recognise when the same customer is acting on behalf of a company or as an individual and identify upselling and cross-selling opportunities

Groupama Paola Scarabotto Head of Business Intelligence and Product Engineering Groupama

08:30 - 09:00
Drive efficiencies in the customer journey and transform the customer experience
  • Enhance the customer experience with AI and put contextual, personalised products in front of your customers
  • Grasp the advantages of chatbots and roboadvisors to monitor interactions, offer no human bias and provide a better service to your customers during the purchase and claims process
  • Position your product and attract the customers you want through a combination of machine learning and data science
  • Use machine learning and AI to create achieve a single customer view and a positive customer experience in a world of ever-growing touchpoints
  • Deploy analytics, NLP and sentiment analysis to automatically process customer queries, concerns and wishes

La Mutuelle Générale Stephane Barde Head of Data Science & Analytics La Mutuelle Générale

RAC Nick Walker Managing Director of Connected Solutions RAC

08:30 - 09:00
Panel Q&A: AI & Analytics for Customer Experience and Product Design

Groupama Paola Scarabotto Head of Business Intelligence and Product Engineering Groupama

La Mutuelle Générale Stephane Barde Head of Data Science & Analytics La Mutuelle Générale

RAC Nick Walker Managing Director of Connected Solutions RAC

05:30 - 07:00
End of day one – Networking Drinks Party
08:30 - 09:00

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

08:30 - 09:00
Getting started on your AI journey: Connect the outside world with the world of insurance
  • Establish the benefits of AI - why do we need AI when we have actuaries? And discuss the importance of acting fast
  • Layer technology for maximum impact: Track the evolution of Big Data to AI and join it all together with IOT
  • Hear case studies across big data and analytics, working with 3rd parties to transform IT operations and using sensor technology for dashboard cameras

Markerstudy Dan Fiehn Group IT Director Markerstudy

08:30 - 09:00
Driving and communicating change:  Get your workforce on board with your future AI & Analytics plans
  • Hear tips on setting your vision, recruiting the right people and developing educational strategies that empower your staff
  • Will we see new roles being created in this space, and what skillsets will be required?  How do you balance business awareness with data science skills? 
  • Best strategies to influence your IT department and gain their buy-in; Encourage agile, dynamic, forward-thinking architects so you’re set for the AI revolution

Aviva Tom Spencer Head of Customer Analytics Aviva

08:30 - 09:00
Prepare for the next generation of analytics: Get to grips with the organisational change required to reap the benefits of AI
  • Should innovation, like machine learning and AI, be controlled by a centralised analytics team? Or should business units take the lead in driving efficiency in their departments?  
  • Analyse the risks and benefits of data becoming democratised: Remove bottlenecks and barriers and make simple predictive and operational tasks accessible to the masses
  • Explore the increasing importance of visualisation tools to allow a wider variety of roles to interpret and act upon your data
  • Standardise and define your data before it’s interpreted internally: Get clarity over simple questions, such as, what counts as a policy? What counts as a customer?

Led by: DataRobot Satadru Sengupta General Manager and Insurance Subject Matter Expert DataRobot

08:30 - 09:00
Live Polling and Interactive Discussion

Get out your smart devices and let’s get some live statistics. Using live polling software, we will explore the audience's perspectives on key insurance issues.

Led by: DataRobot Satadru Sengupta General Manager and Insurance Subject Matter Expert DataRobot

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Get to grips with the specifics of GDPR - How it will impact your AI and analytics strategy?
  • Where do you start and how do you assess your exposure? Find out how to prepare, get consent in place, check permissions are valid and work through the right legal framework for using customer data
  • Get advice on applying the “right to be forgotten” and how this affects the validity of data, particularly anonymised data
  • Avoid GDPR killing off use cases of AI and stalling big data projects and make sure you push forward with a future-thinking analytics strategy

SpareBank 1 Insurance Svein Skovly Head of Innovation SpareBank 1 Insurance

08:30 - 09:00
Walk before you can run: Develop agile, proof of concept models and establish value quickly
  • Hear concrete, easy and valuable applications of AI and machine learning that don’t require large investments in technology, and listen to practical examples from pricing segmentation and sales and marketing
  • Change management all the way from executives to insurance agents:  How do you transform from a dinosaur into a market leader, and create a culture of AI in your organisation
  • Don’t put products ahead of the data: Put analytics at the heart of your innovation strategy and design products, like apps and sensors, that generate useful data for your business
  • Identify fintech and insurtech partners who can deliver the AI capabilities, security and scalability you need to succeed

The Co-Operators General Insurance Company Clement Brunet Senior Director BI Research and Innovation The Co-Operators General Insurance Company

DreamQuark Nicolas Meric CEO DreamQuark

05:30 - 07:00
Networking Lunch Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Explore the ethical implications of using AI in Insurance
  • The Human vs Bot conundrum: Get advice on how to maintain your core values and retain the human touch as you roll AI out across your organisation
  • How will customers feel about AI? You want to get closer to your customers, but do they want to get closer to you?
  • Will the regulators get involved? What role could they have?  

Speakers for this session are still being selected – check again soon for updates.

08:30 - 09:00
Stop fraud in its tracks and deliver real returns on your AI investment
  • Overcome the challenge of having enough fraud datasets for both traditional and machine learning models
  • Reduce false positives and apply machine learning algorithms to determine which claims are potentially fraudulent vs those that are legitimate
  • As the number of analytics tools increases how do you reconcile conflicting information and employ data visualisation tools to effectively spot fraud?
  • Understand the importance of analytics, neural networks and machine learning to spot fraud earlier and allocate resources more efficiently, whilst limiting the impact on the customer journey

Speakers for this session are still being selected – check again soon for updates.

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Utilise AI to interpret unstructured data from non-traditional sources: Analyse customer needs, inform product design and speed up claims
  • Explore how to use AI and machine learning for unstructured data, like images and videos, in motor claims – what’s the risk vs benefit equation?
  • Will social media data be off-limits for insurers? Hear potential use-cases of using it for customer insights, fraud mitigation and product design 
  • Integrate data from connected devices and sensors across to get a better understanding of your customers’ needs and position your customer as individual risk partners
  • Analyse unstructured data to inform product design and offer more targeted, personalised products to customers

Speakers for this session are still being selected – check again soon for updates.

08:30 - 09:00
Build a strong foundation: Ensure your operational data is in the right place at the right quality
  • Get each department – especially pricing and underwriting – to understand the importance of good data and good analytics and adjust their processes accordingly
  • Create uniformity of language, consistent coding and labelling across your business so you’ll be able to find the right correlations in your data
  • Discuss the best ways, for example OCR software, to move data from paper sources onto digital systems in a cost effective, time-effective manner
  • Overcome the age-old problem of legacy systems where policy information, digital interactions, personal information is often stored in different places
  • Address the necessary steps to curate and train the data on a long-term basis: How can you normalise the data for the real world before you can move onto machine learning?

Speakers for this session are still being selected – check again soon for updates.

08:30 - 09:00

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

08:30 - 09:00
Track the evolution of predictive and advanced analytics into machine learning
  • Define the nuances of deep learning, machine learning, artificial intelligence and robotics
  • Hear concrete examples of practical applications of AI in insurance, and other industries
  • Becoming a truly modern insurer: Exploit the forward-looking nature of AI to predict future developments, optimise procedures and automate processes
  • Are we seeing predictive analytics being re-labelled as machine learning? Are we truly talking about artificial intelligence in these cases, or just clever analytics?
  • Debate the likely timescales of industry-wide, company-wide adoption of machine learning and AI and make sure you don’t miss the boat

allianz Andreas Braun Head, Global Data & Analytics Allianz

intellect_seec Lakshan DeSilva Chief Technology Officer & Partner Intellect SEEC

celent Craig Beattie Senior Analyst, Insurance Celent

08:30 - 09:00
Sponsored Keynote Presentation from IBM

IBM Noel Garry European Insurance Leader, Watson Financial Services Solutions IBM

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Fast-track claims handling: Make automated claims work for you
  • Practical examples of using machine learning to speed up claims process: See how insurers are already using images, sensor data and historical data to assess severity of the damages and predict repair costs
  • Put the customer experience front and centre: Fast-track claims, reduce handling costs, whilst enhancing the customer experience
  • Get the edge over traditional predictive models, which only leverage structured data, by loading your claims data, both unstructured and structured, into a data lake or warehouse
  • Employ analytics to ensure that the right adjustor, the right information and the right adjustments are being made in your claims department
  • Understand claimant behaviour and where the claims process is going right and wrong – determine when it is relevant for a human to review claims and when it makes sense to automate

AIG Simon Gallimore VP of Casualty Claims, UK AIG

Gjensidige Joachim Lund Head of Data Warehouse, Analytics, Technology and Development Gjensidige

08:30 - 09:00
Use machine learning to price more accurately, boost profitability and sharpen your competitive edge
  • Utilise unstructured data from a wide variety of sources, like social media, and deploy machine learning to make better pricing and underwriting decisions
  • Explore new tools and techniques for pricing optimisation: Go beyond predictive analytics and use more accurate neural networks to optimise price, in real-time at the point of sale
  • From the back of the envelope to the cloud: Discover how to develop a leading analytics practice leveraging the best of traditional and modern analytics
  • Hear new methods for understanding your customer to better assess and price risk - Will robotics result in underwriting becoming fully automated? Or will algorithms always require human supervision?
  • Find out how to augment manually-driven underwriter judgements with automated routines that drive consistency and provide previously unknown insights

LV= Pardeep Bassi Head of Data Science LV=

Argo Group International Holdings, Ltd. Kenny Holms Head of Predictive Analytics Argo Group International Holdings, Ltd.

NFU Mutual (panel) Iain Farquharson Head of Pricing NFU Mutual (panel)

08:30 - 09:00
Case-Study: AI-Based Life & Health Insurance Platforms
  • Get insights into the latest trends in AI and Lifestyle based insurance platforms, including Health Scoring, Lifestyle Navigation & Gamification
  • Adapt to a world where premiums will be based on a Pay-As-You-Live (PAYL) model and give consumers a better understanding of their health
  • See how AI can be deployed to improve, or maintain, a healthy lifestyle and the direct economic impact on their quality of their life

Dacadoo Peter Ohnemus President and CEO Dacadoo

05:30 - 07:00
Networking Lunch Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Exploit AI and machine learning to drive operational transformation, reduce turn-around times, lower costs and improve productivity
  • From claims to underwriting, where can you use machine learning? How do you take your first steps into a new digital “normality”?
  • Explore how natural language processing, speech recognition, chatbots and roboadvisors will drive operational efficiencies on the customer journey; respond faster and resolve queries and complaints first time
  • Gain a competitive advantage by using AI and machine learning to better analyse unstructured data, recognise market changes and forecast optimal responses
  • Ensure your AI dreams come to fruition: Integrate machine learning and neural networks into your current management infrastructure do you need a Chief AI Officer?
  • Consider the opportunities presented by AI from the perspective of the customer and the newly-rejuvenated augmented agent
  • Is AI an opportunity to reduce your workforce as tasks are digitised?

PNB Metlife Zia Zaman CEO, Lumen Lab & Chief Innovation Officer PNB Metlife

Helvetia Versicherungen Gruppe Daniel Litscher Head of Business Analytics Helvetia Versicherungen Gruppe

Generali Alexandrina Scorbureanu Head of Financial Management - Group Chief Information & Digital Officer Generali

Swiss Re Corporate Solutions Ltd. Anthony Barker Head Claims Operations EMEA Swiss Re Corporate Solutions Ltd.

08:30 - 09:00
Interactive Roundtable Discussions

This session is an opportunity to benchmark across your industry, network with your closest peers at the event and gain targeted, relevant insight to take back to your team.

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Harness AI to recognise customer prospects and evaluate the propensity for digital services
  • Discover how AI can generate better communication and better service to your customers
  • Classify customers more effectively to deliver a more specialised customer experience
  • Get tips on using AI to develop a digital ecosystem of services that go beyond insurance
  • Use AI and ML for customer analysis and recognition: Recognise when the same customer is acting on behalf of a company or as an individual and identify upselling and cross-selling opportunities

Groupama Paola Scarabotto Head of Business Intelligence and Product Engineering Groupama

08:30 - 09:00
Drive efficiencies in the customer journey and transform the customer experience
  • Enhance the customer experience with AI and put contextual, personalised products in front of your customers
  • Grasp the advantages of chatbots and roboadvisors to monitor interactions, offer no human bias and provide a better service to your customers during the purchase and claims process
  • Position your product and attract the customers you want through a combination of machine learning and data science
  • Use machine learning and AI to create achieve a single customer view and a positive customer experience in a world of ever-growing touchpoints
  • Deploy analytics, NLP and sentiment analysis to automatically process customer queries, concerns and wishes

La Mutuelle Générale Stephane Barde Head of Data Science & Analytics La Mutuelle Générale

RAC Nick Walker Managing Director of Connected Solutions RAC

08:30 - 09:00
Panel Q&A: AI & Analytics for Customer Experience and Product Design

Groupama Paola Scarabotto Head of Business Intelligence and Product Engineering Groupama

La Mutuelle Générale Stephane Barde Head of Data Science & Analytics La Mutuelle Générale

RAC Nick Walker Managing Director of Connected Solutions RAC

05:30 - 07:00
End of day one – Networking Drinks Party

Download your event brochure

Full speaker list • Full conference agenda • Audience breakdown

08:30 - 09:00

Chairman: - Tony Boobier Author, “Analytics in Insurance” & Industry Commentator  

08:30 - 09:00
Getting started on your AI journey: Connect the outside world with the world of insurance
  • Establish the benefits of AI - why do we need AI when we have actuaries? And discuss the importance of acting fast
  • Layer technology for maximum impact: Track the evolution of Big Data to AI and join it all together with IOT
  • Hear case studies across big data and analytics, working with 3rd parties to transform IT operations and using sensor technology for dashboard cameras

Markerstudy Dan Fiehn Group IT Director Markerstudy

08:30 - 09:00
Driving and communicating change:  Get your workforce on board with your future AI & Analytics plans
  • Hear tips on setting your vision, recruiting the right people and developing educational strategies that empower your staff
  • Will we see new roles being created in this space, and what skillsets will be required?  How do you balance business awareness with data science skills? 
  • Best strategies to influence your IT department and gain their buy-in; Encourage agile, dynamic, forward-thinking architects so you’re set for the AI revolution

Aviva Tom Spencer Head of Customer Analytics Aviva

08:30 - 09:00
Prepare for the next generation of analytics: Get to grips with the organisational change required to reap the benefits of AI
  • Should innovation, like machine learning and AI, be controlled by a centralised analytics team? Or should business units take the lead in driving efficiency in their departments?  
  • Analyse the risks and benefits of data becoming democratised: Remove bottlenecks and barriers and make simple predictive and operational tasks accessible to the masses
  • Explore the increasing importance of visualisation tools to allow a wider variety of roles to interpret and act upon your data
  • Standardise and define your data before it’s interpreted internally: Get clarity over simple questions, such as, what counts as a policy? What counts as a customer?

Led by: DataRobot Satadru Sengupta General Manager and Insurance Subject Matter Expert DataRobot

08:30 - 09:00
Live Polling and Interactive Discussion

Get out your smart devices and let’s get some live statistics. Using live polling software, we will explore the audience's perspectives on key insurance issues.

Led by: DataRobot Satadru Sengupta General Manager and Insurance Subject Matter Expert DataRobot

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Get to grips with the specifics of GDPR - How it will impact your AI and analytics strategy?
  • Where do you start and how do you assess your exposure? Find out how to prepare, get consent in place, check permissions are valid and work through the right legal framework for using customer data
  • Get advice on applying the “right to be forgotten” and how this affects the validity of data, particularly anonymised data
  • Avoid GDPR killing off use cases of AI and stalling big data projects and make sure you push forward with a future-thinking analytics strategy

SpareBank 1 Insurance Svein Skovly Head of Innovation SpareBank 1 Insurance

08:30 - 09:00
Walk before you can run: Develop agile, proof of concept models and establish value quickly
  • Hear concrete, easy and valuable applications of AI and machine learning that don’t require large investments in technology, and listen to practical examples from pricing segmentation and sales and marketing
  • Change management all the way from executives to insurance agents:  How do you transform from a dinosaur into a market leader, and create a culture of AI in your organisation
  • Don’t put products ahead of the data: Put analytics at the heart of your innovation strategy and design products, like apps and sensors, that generate useful data for your business
  • Identify fintech and insurtech partners who can deliver the AI capabilities, security and scalability you need to succeed

The Co-Operators General Insurance Company Clement Brunet Senior Director BI Research and Innovation The Co-Operators General Insurance Company

DreamQuark Nicolas Meric CEO DreamQuark

05:30 - 07:00
Networking Lunch Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Explore the ethical implications of using AI in Insurance
  • The Human vs Bot conundrum: Get advice on how to maintain your core values and retain the human touch as you roll AI out across your organisation
  • How will customers feel about AI? You want to get closer to your customers, but do they want to get closer to you?
  • Will the regulators get involved? What role could they have?  

Speakers for this session are still being selected – check again soon for updates.

08:30 - 09:00
Stop fraud in its tracks and deliver real returns on your AI investment
  • Overcome the challenge of having enough fraud datasets for both traditional and machine learning models
  • Reduce false positives and apply machine learning algorithms to determine which claims are potentially fraudulent vs those that are legitimate
  • As the number of analytics tools increases how do you reconcile conflicting information and employ data visualisation tools to effectively spot fraud?
  • Understand the importance of analytics, neural networks and machine learning to spot fraud earlier and allocate resources more efficiently, whilst limiting the impact on the customer journey

Speakers for this session are still being selected – check again soon for updates.

05:30 - 07:00
Networking Coffee Break

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown


08:30 - 09:00
Utilise AI to interpret unstructured data from non-traditional sources: Analyse customer needs, inform product design and speed up claims
  • Explore how to use AI and machine learning for unstructured data, like images and videos, in motor claims – what’s the risk vs benefit equation?
  • Will social media data be off-limits for insurers? Hear potential use-cases of using it for customer insights, fraud mitigation and product design 
  • Integrate data from connected devices and sensors across to get a better understanding of your customers’ needs and position your customer as individual risk partners
  • Analyse unstructured data to inform product design and offer more targeted, personalised products to customers

Speakers for this session are still being selected – check again soon for updates.

08:30 - 09:00
Build a strong foundation: Ensure your operational data is in the right place at the right quality
  • Get each department – especially pricing and underwriting – to understand the importance of good data and good analytics and adjust their processes accordingly
  • Create uniformity of language, consistent coding and labelling across your business so you’ll be able to find the right correlations in your data
  • Discuss the best ways, for example OCR software, to move data from paper sources onto digital systems in a cost effective, time-effective manner
  • Overcome the age-old problem of legacy systems where policy information, digital interactions, personal information is often stored in different places
  • Address the necessary steps to curate and train the data on a long-term basis: How can you normalise the data for the real world before you can move onto machine learning?

Speakers for this session are still being selected – check again soon for updates.

Download the detailed event brochure

Complete speaker line-up • Program for all tracks & sessions • Audience breakdown