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Strategic Partner

October 9, 2017 - October 10, 2017

4th Annual Insurance AI and Analytics Europe

Hilton Tower Bridge, London, United Kingdom

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Event Details

Begins: October 9, 2017

End: October 10, 2017

Event Location: Hilton Tower Bridge, London, United Kingdom

Website: http://events.insu..alyticseu

Event Organizer

Event Organizer: Insurance Nexus

Contact Person: Helen Raff

Phone Number: +44 (0) 207 375 7582

Website: http://www.insurancenexus.com/

Overview

This is Europe’s first AI event dedicated solely to insurance – make sure you don’t get left behind and join 300 attendees and 30 speakers from analytics, pricing, marketing, claims and underwriting. You’ll find out how advanced analytics, automation and AI can drive operational efficiency, greater profitability and improved customer loyalty.  And examine the evolution of analytics into AI in the specific areas of product design/customer experience, underwriting/pricing and claims/fraud.

You’ll hear AI and machine learning strategies from companies such as, Allianz, Zurich, Groupama, NFU Mutual, Markerstudy, SpareBank 1 Insurance, Gjensidige, Generali, MetLife Asia, Helvetia, Swiss Re, Prudential, Amlin.

By attending you’ll address the key opportunities and challenges of AI in insurance:

    Drive operational transformation: Reduce turn-around times, lower costs and improve productivity using AI and machine learning techniques
    Master incremental steps to get your AI plans off the ground: Build a strong data foundation, get buy-in from your workforce and develop agile, proof of concept models
    Enhance the customer experience using chatbots and roboadvisors, and put contextual, personalised products in front of your customers in front of your customer to boost loyalty
    Explore new tools and techniques to optimise price in real-time at the point of sale, boost profitability and sharpen your competitive edge
    Get practical examples of using machine learning to automate the claims process; use images, sensor data and historical data to assess severity and predict repair costs

Find out more here: http://bit.ly/2rKJLdB

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