• 09:00

    WELCOME & OPENING REMARKS

  • AI IN INSURANCE VIRTUAL SUMMIT

  • THE CURRENT INSURTECH LANDSCAPE

  • 09:10

    Where InsurTech Stands

  • ETHICAL CONSIDERATIONS

  • 09:30
    Benedict Dellot

    The Ethics of Using AI in Personal Insurance

    Benedict Dellot - Head of AI Monitoring - Centre for Data Ethics and Innovation

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    The Ethics of Using AI in Personal Insurance

    AI and data-driven technologies are set to alter several dimensions of the personal insurance landscape, from customer onboarding to damage assessments to fraud detection and prevention. While these changes will enhance business efficiency and the overall customer experience, they also have the potential to cause harm if not managed with care. Some fear the adoption of AI for assessing risks could lead to a spike in prices and create a new class of ‘uninsurables’ in society. Others worry that expanding the use of data-driven algorithms in the industry will impinge on people’s privacy, particularly where that data is collected without consent. In this talk, Benedict Dellot will outline the findings of the CDEI’s investigation into the use of AI in the personal insurance industry, and will flag the different measures that could help keep insurers on the right side of the ethical divide as they use this powerful technology.

    Benedict Dellot is Head of AI Monitoring at the Centre for Data Ethics and Innovation (CDEI). His team is charged with tracking developments in AI and data-driven technology, mapping the risks and opportunities they present to society, and prioritising which issues deserve the greatest attention. Prior to joining the CDEI, Benedict was Head of the RSA's Future Work Centre, where he led research examining the impact of new digital technologies on the UK's labour market.

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  • AI APPLICATIONS IN INSURANCE

  • 09:50
    Marc Fiani

    AI for Actuarial Work: Opportunities and Risks

    Marc Fiani - Director - MetLife

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    AI for Actuarial Work: Opportunities and Risks

    Artificial Intelligence is a natural extension of actuaries traditional quantitative methods. As such, actuaries should be the first users of advanced AI models. Indeed, these models provides ways to find new risk pools, improve computation time and manage more data. However A.I. comes with its own challenges and risks. These risks have kept A.I. out of insurance core practices: risk management and policies pricing whereas departments such as distribution, marketing, claim management and fraud have greatly benefited from it. The three main challenges are individualisation, explainability and ethics which we will cover during the presentation.

    Marc Fiani is a Director in MetLife Actuarial organisation. He has a Master degree in Mathematics from Columbia University in New York. He worked for the past 5 years with actuaries within the company to improve business processes using Machine Learning and Big Data.

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  • 10:10
    Julia Romero

    Machine Learning & The Future of Insurance Product Development

    Julia Romero - Lead for Actuarial Engineering & Advanced Modeling - Haven Life

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    Machine Learning & The Future of Insurance Product Development

    The insurance industry faces a number of challenges in developing new products: long-term liabilities, a rapidly changing distribution environment, and complex customer behaviors that can materially impact product value. At Haven Life and MassMutual, we believe that the actuarial paradigm must evolve in order to support innovation and continue to delight customers for the next 100+ years. We are building a new product development platform that uses machine learning models and modern econometric techniques to drive rapid and sound product development and pricing for the challenges of the modern insurance market.

    Julia Romero is the lead for Actuarial Engineering and Advanced Modeling at Haven Life, an online life insurance agency that’s backed and wholly owned by MassMutual. At Haven Life, Julia is focused on integrating and applying data science and other analytics models to drive innovation in actuarial technology. Prior to joining Haven Life, Julia worked as an actuary at AXA US, where she focused on the development of agent based models of annuity policyholder behavior.

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  • 10:30

    COFFEE

  • 11:15

    PANEL: Internationally Assessing the Future of AI & Regulation in Finance & Insurance

  • Natalia Bailey

    Panelist:

    Natalia Bailey - Associate Policy Advisor, Digital Finance - Institute of International Finance

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    Natalia Bailey is an Associate Policy Advisor in the Digital Finance Department at the IIF, where she focuses on the digital transformation of the financial system, particularly the application of new technologies such as Machine Learning to the domain of risk management, and financial sector supervision.

    In her prior role she focused on banking prudential regulation where she reviewed the modeling practices in banks’ internal RWA models, and helped develop a multi-pronged approach to enhance internal model based capital approaches.

    Natalia holds a MPP from George Mason University, and a BA in Economics from Hollins University, where she attended on an IIE-Fulbright Scholarship.

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  • Kate Shcheglova-Goldfinch

    Panelist:

    Kate Shcheglova-Goldfinch - Associate Editor - The FinTech Times

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    Kate is a professional journalist with 20+ years experience who is passionate about fintech, insurtech and decentralised finance. 12 years ago she founded the Future magazine (Ukrainian media covering fintech and digital economy - futuremagazine.io). In 2017 Kate joined the team of London-based edition The Fintech Times (thefintechtimes.com) as Associated Editor and during last 3 years was a regular participant, facilitator and speaker at global fintech events.

    In November 2019 Thinkers360 she was listed in TOP50 Global Fintech Thought Leaders and in March 2020 in TOP100 Women B2B Global Fintech Thought Leaders to follow in 2020.

    For the last 15 years she was busy dealing with the insurance market, organising insurtech conferences and since 2016 observing insurtech startups and trends.

    In October 2019 she joined the Central bank of Ukraine as Senior PM for fintech strategy 2025 development and regulatory sandbox launch. She is passionate about finclusion and education. During her time in the Ukrainian Central bank she participated in launching the first mini-MBA programme on the Ukrainian market "Digital finance 4.0" focusing on open banking. She holds a MSc from London Metropolitan University (MSc in Strategic Marketing | Digital Communications).

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  • 11:50

    Delivering Personalised Product Recommendations

  • 12:10
    Franziska Kirschner

    Better, Faster, and Cheaper: How Deep Learning Can Bring Real Value to the Claims Process

    Franziska Kirschner - Senior Deep Learning Researcher - Tractable

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    Better, Faster, and Cheaper: How Deep Learning Can Bring Real Value to the Claims Process

    Investment in AI is at an all-time high, yet many projects struggle to scale and generate value, both for businesses and end-users. How do you build an AI product that not only delivers, but thrives, commercially? At Tractable we develop artificial intelligence solutions for accident and disaster recovery, in particular for the auto insurance industry. In this talk I will explore how and why Tractable’s deep learning tech accelerates the claim workflow and delivers value where it matters — to the end-user.

    Franziska is a Senior Deep Learning Researcher at Tractable. She develops Tractable’s deep learning algorithms, and focuses on diversifying and scaling the core AI across domains. Franziska started life as a physicist, and completed her PhD in condensed matter physics at the University of Oxford.

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  • 12:30

    Networking & Discussion

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