Agenda

This session will address the insurance industry as whole through the context of big data analytics and the pattern of this industry in future. It will also discuss how data-driven culture can be formed in an organization despite their sizes.

• A look into the tangible transformation analytics and predictive insights brought into the insurance
• Future of insurance industry with the rise of digital age, a valid expectation of a insurer
• Fitting data driven culture in your organisation – size doesn’t matter

Adam joined Markerstudy at the start of 2015 with over 18 years IT experience in the insurance sector, working with major brands such as AXA Group. Adam is responsible for leading a team of over 200 IT professionals, to deliver services to nearly 4,000 end users across multiple UK and European group businesses.Since joining the Group, Adam has been working with an award-winning global big data team whose accolades include the 2015 Celent Model Insurer award for Data Mastery & Analytics; and the 2016 Celent Model Insurer award for Operational Excellence.

His hands-on experience of the rapid development of big data technology within Markerstudy has seen Adam dealing with the challenges of business development, technical deployment and supporting production of big data services; and overcoming these has seen immense big data benefits realized for the Group.

Data Driven Transformations for Effective Underwriting

Underwriting role is changing at an exponential rate. The growth in large number of data has initiated a more predictive risk management environment, which is driving a demand for a cultural shift. As such, an in-depth discussion will show how insurers can transform underwriting through data analytics, advance analytics and the role of machine learning for better risk management.

• How predictive insights transform underwriting and better risk assessment
• Machine learning and underwriting goes hand in hand, it’s time for advancement
• Advanced analytics to equip underwriters with the right information to win customers

Douglas Robare is the Head of Financial Lines Underwriting at Generali Global Corporate & Commercial. His primary responsibility is the design and execution of Global Growth Strategies for Directors & Officers, Management Liability, Cyber Liability, Professional Liability, and Crime Insurance. He is also a member of the European Financial Roundtable working group on Cyber Security and New Digital Business Models on behalf of Generali. Conducting business in over 70 countries worldwide, he has held his position since January 2014.Douglas started his career in 1997 underwriting Finite Risk Insurance for AIG’s US subsidiary National Union. He has since held various positions in the USA, Ireland, and UK with AIG and also Zurich, where he was the Head of the D&O department and finally, Aviva where he was Head Financial Lines.

For the past 18 years he has worked with customers and intermediary partners providing relevant insurance solutions for complex domestic and cross boarder risk. He is a regular speaker on Corporate Governance, Bribery, and Cyber Liability. Having spoken in the USA, UK, Brazil, Germany, India, Singapore, CEE, and Italy, most notably paneling with the Right Honorable Tony Blair to discuss the impact of UK Bribery Act 2010 on UK boards.

Price optimization rely on predictive modeling and “big data” as a rating factor. This session will bring data analytics and predictive insights that will help insurers rate an insurance product at the market price in different circumstances.

• Develop strong analytics capabilities to determine pricing for customers in a competitive market
• Market segmentation and real-time data in aiding pricing models
• How reliable is third party data for underwriting

Embedding data analytics to overcome challenges in materializing automated claims and taking advantage of the claim technology to improve customer experience

• Integrate fast track claims handling processes to deliver customer expectation
• Deploy real time data to reduce claims
• Overcome the challenges and make automated claims a reality

Detecting Fraud, Diminishing from the Root – Why Don’t Use Block Chain?

Fraud detection has been improved, and systems are now robust enough to provide analytics in real-time where we are looking into leveraging block chain to detect frauds including cyber frauds.

• Merge data analytics solutions to beat the increasing fraudulent – don’t let it touch your bottom line
• How block chain application can help insurers to curtail the fraud cases
• Cyber fraud, how we are a potential threat and manage them seamlessly
• Turn structured and unstructured data into insights for holistic data driven approach to beat fraud

Following more than 22 years service as a police officer, Steve has spent over 16 years working in counter-fraud. As Head of Financial Crime for Covéa Insurance, Steve leads the development of Covéa Insurance’s internal and external counter-fraud strategy, encompassing both claims and underwriting fraud.With a strong counter-fraud team, Steve also manages investments in appropriate intelligence, skills and technology to maintain the team’s market-leading capabilities to successfully combat application and claims fraud.

Prior to joining Covéa Insurance, Steve held senior fraud management roles with Equity Insurance and Zurich Insurance together with specialist investigation roles with Cunningham Lindsey and Capita Insurance Services. From 2008-2011 Steve also chaired the North West Fraud Forum, which had the objective of sharing counter-fraud advice between local businesses and public authorities within the region.

Customer analytics helps insurers find, understand and leverage information to meet customer expectations, enhance customer retention and achieve a single customer view. We will uncover how to deliver the best in class customer experience and the role of analytics in customer centricity.

• Turn customers into advocates, how to use predictive insights to win ever changing customer expectation
• Develop analytics capabilities to deliver real time customer interactions
• How analytics can support the transition to customer-centricity, integrate the multiple platforms to achieve customer’s single view

The rise of the digital ecosystem is expanding the boundaries of insurance where digital disruption can be a great opportunity for insurers. We will be expanding the idea of transforming the disruption into creating values for customers.

• Glimpse into what technology has done to the industry
• Understand the disruption and predict what is waiting for you
• Disrupters are not immune, insurers are: Learn how to tackle the phenomena

Matthew originally joined Swiss Re in 2012, working in Business Development in London (UK). He later moved to Strategy and Corporate Development in Zurich (Switzerland). In February 2016, he took on a new role within Customer Engagement at Swiss Re Life Capital, based in London. In March 2016, Matthew was named as one of the ‘Top 25 Rising Stars of Distribution Under 40’ by the industry association LIMRA. In May 2016, he was named as one of the top 20 global insurtech influencers by InsurTech News.

A thorough discussion on IoT and telematics on how they are fueling the digital insurance. Understanding and investing in data and analytics that will change the shape of insurance for the advantage of insurers to create values and establish themselves as dominant in a disruptive platform.

• How far has the UK insurance industry welcomed technology and what are the gadgets in market
• Learn how to transform trends into opportunities
• Deliver technology in a user friendly manner to customers
• Discover telematics and what it can do more

Andy runs the Data Science team, creating the cutting edge data analytics and contextualized scoring systems that enable clients use any device to predict those customers who are more likely to have accidents and to offer them tailored education.

He is responsible for ensuring that the telematics product delivered to insurers and fleet managers is tailored to the client’s needs, and that the scoring can be provided to motor insurers, car makers and fleet operators alike; with actionable insights to improve pricing and increase customer loyalty and ROI.

Andy is an actuary by training, as well as a highly respected General Insurance industry executive with significant experience of issues within the insurance sector built up over years of running large motor insurance portfolios at DLG and Groupama and participation on the ABI Motor Committee and MIB Levy Committee.

Adam joined Markerstudy at the start of 2015 with over 18 years IT experience in the insurance sector, working with major brands such as AXA Group. Adam is responsible for leading a team of over 200 IT professionals, to deliver services to nearly 4,000 end users across multiple UK and European group businesses.Since joining the Group, Adam has been working with an award-winning global big data team whose accolades include the 2015 Celent Model Insurer award for Data Mastery & Analytics; and the 2016 Celent Model Insurer award for Operational Excellence.

His hands-on experience of the rapid development of big data technology within Markerstudy has seen Adam dealing with the challenges of business development, technical deployment and supporting production of big data services; and overcoming these has seen immense big data benefits realized for the Group.

Douglas Robare is the Head of Financial Lines Underwriting at Generali Global Corporate & Commercial. His primary responsibility is the design and execution of Global Growth Strategies for Directors & Officers, Management Liability, Cyber Liability, Professional Liability, and Crime Insurance. He is also a member of the European Financial Roundtable working group on Cyber Security and New Digital Business Models on behalf of Generali. Conducting business in over 70 countries worldwide, he has held his position since January 2014.Douglas started his career in 1997 underwriting Finite Risk Insurance for AIG’s US subsidiary National Union. He has since held various positions in the USA, Ireland, and UK with AIG and also Zurich, where he was the Head of the D&O department and finally, Aviva where he was Head Financial Lines.

For the past 18 years he has worked with customers and intermediary partners providing relevant insurance solutions for complex domestic and cross boarder risk. He is a regular speaker on Corporate Governance, Bribery, and Cyber Liability. Having spoken in the USA, UK, Brazil, Germany, India, Singapore, CEE, and Italy, most notably paneling with the Right Honorable Tony Blair to discuss the impact of UK Bribery Act 2010 on UK boards.

Matthew originally joined Swiss Re in 2012, working in Business Development in London (UK). He later moved to Strategy and Corporate Development in Zurich (Switzerland). In February 2016, he took on a new role within Customer Engagement at Swiss Re Life Capital, based in London. In March 2016, Matthew was named as one of the ‘Top 25 Rising Stars of Distribution Under 40’ by the industry association LIMRA. In May 2016, he was named as one of the top 20 global insurtech influencers by InsurTech News.

To help insures drive effective decision making, data visualization tools allow insures to understand the rapidly growing practice of data collection. For insurers, the greatest value is achieved through embedding analytics with an enterprise wide approach.

• Discover the hidden connection between data and decision making
• Gain meaningful insights from the right data for profitable results
• Embed analytics across the organization and centralization for an enterprise wide approach

Exploring customer experience in the future by levering analytic tools to interact with customers as well as implement cost effective strategies

• What drives consumer behaviour and how are those drivers changing?
• How are new starts-ups exploiting the industries’ Achilles heel? Who are your new competitors?
• Cutting cost through effective data driven customer service

Ian Hughes believes that the answer to building a sustainably profitable business is simple; see the world through the eyes of your customer. The problem is, it’s easy to say, but few companies actually do it. Ian has made it his life’s work to help companies understand how to improve their world by helping them better understand their customers.

Whilst starting out as a Mailroom clerk at the age of 13 in his father’s mail order company, he followed the world of a geek until he discovered his fixation working in retail, in charities and as one of the early pioneers of the Internet. In 2003 he launched market and consumer benchmarking specialist, Consumer Intelligence, who now operate in 9 countries globally.

He is a Fellow of the Institute of Direct Marketing, a Best of British Awards judge, a graduate of Harvard Business School and columnist for magazines around the world – but nothing is more important to him than helping companies fixate on customers.

A session dedicated to understanding the involvement of data analytics and IoT to understand customer behaviour, customer centricity and create a win-win situation for the company, customers and society as a whole.

• Leverage analytics and predictive insights to follow the trend of evolving customer behaviour
• How gamification and advanced IoT can help insurers understand the trend and create an agile market towards customer centricity
• Predictive insights for forecasting threats and cost saving strategy

Pierre du Toit heads up the technical pricing as well as big data analytics teams at Vitality. He has experience in leading diverse analytical projects in the financial services industry and in his current role, cutting edge analytics is used with the goal of improving customer’s wellness and creating shared value. He holds qualifications in Financial & Actuarial Mathematics, Financial Engineering and is a Fellow of the Institute and Faculty of Actuaries.

His research work has contributed to a number of actuarial conference papers and he has also been an active member of working parties at the Institute and Faculty of Actuaries.

Uncovering analytic strategies to learn how to invest accurately to drive revenue, overcome challenges and avoid poor analytics return. This session will ensure an increase in your ROI.

• A look into what separates the top analytical competitors from the impaired
• The areas insurers should invest to rapidly and economically increase their analytics impact
• Avoid investments that are costly and deliver little or no analytical return

“War is 90% information.” – Napolean.

Data warrior, failed actuary, analytics cavalry, father, husband and creative spirit.

David specializes in cross-fertilising techniques and ideas from outside insurance. David builds analytics strategy, pricing models and new solutions. He has been a chief actuary, broker and insurance executive.

Now, he is a mercenary to the London insurance market. A data warrior for hire.

Driverless technology is a real game-change in the industry, and we are looking into how this policy can be made possible for consumers who have already implemented driverless features in their vehicles, and how we can protect them from hackers.

• The challenges of driverless cars for insures, who or what to insure? The car or the driver?
• The role of data analytics in forecasting the right premium for driverless cars
• How well the cars are protected from hackers, predictive insights play a pivotal role

Andy runs the Data Science team, creating the cutting edge data analytics and contextualized scoring systems that enable clients use any device to predict those customers who are more likely to have accidents and to offer them tailored education.

He is responsible for ensuring that the telematics product delivered to insurers and fleet managers is tailored to the client’s needs, and that the scoring can be provided to motor insurers, car makers and fleet operators alike; with actionable insights to improve pricing and increase customer loyalty and ROI.

Andy is an actuary by training, as well as a highly respected General Insurance industry executive with significant experience of issues within the insurance sector built up over years of running large motor insurance portfolios at DLG and Groupama and participation on the ABI Motor Committee and MIB Levy Committee.

Discovering Insurance technology (InsurTech) a phenomenon that helps the insurance industry reconnect with its customers, protect policy holders and redefine the traditional insurance.

• Peer to peer insurance can really reduce pricing for customers? How we can materialize this initiative
• How social brokers can gain customer insights to build long term loyalty
• Transform data into predictive insights for telematics based services to gain advantage in pricing and risk management

Cyber insurance is an important element of a holistic data risk management strategy. This session will allow you to understand how cyber trends are driving how insurers consider your risk.

• Cyber insurance, the role of big data analytics to help identify exposures and ultimately facilitate the underwriting process
• Product evolution and how insurance is developing to meet Enterprise Risk in today’s digital world
• How insures can offer affordable coverage with limited data if customer data is protected?

Discussion on how Brexit will impact the insurance industry in the UK and help insurers see the opportunities

• What insurers should know about Brexit
• Potential threats for the UK insurance market
• Insurers are no longer bound to Solvency II nor EU Gender Directive – does BREXIT allow insures see opportunities?

To help you gain a competitive advantage in the dynamic marketplace, this workshop will engage big data analytics and predictive insights to gain key customer intelligence, and empower your organization. It will also emphasize on how to deploy data analytics to enhance operational efficiencies and increase your company’s revenue.

• Looking into how re-strategize for wider adaptation of data analytics in organization
• Where the integration should start, where can be enhanced
• Redesigning cost savings, data management and analytic strategy to improve and form an integrated data driven organization

This workshop will capture meaningful data to shift organization’s viewpoint to customer viewpoint and manipulate customer-centricity. Insights derived from data analytics will also be used to understand customers and exceed their expectations with personalized products. This workshop encompasses a stimulating debate on product centricity vs customer-centricity.

• Product centric or customer centric, understanding the best approach for insurers
• Analytics tools to understand customer experience and to improve the existing approach
• Road mapping the right business model for exceptional customer service deliverance