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ComapcehtaitlilveengeidnggeminarketThe insurance industry today faces two primary threats: margin pressure due todeclining rates coupled with low investment returns, and disruption from nimbleand digitally savvy new entrants due to rapid technological change.Artelligen helps insurance businesses turn these threats into opportunities.We help you leverage the power of machine learning to optimise bottom lineperformance and remain competitive in the rapidly evolving and increasinglydigital marketplace.Why Artelligen?We are problem solvers and insurance sector specialists. We combine deep insurance domainknowledge with actuarial, statistical, capital modelling, enterprise risk management and cuttingedge machine learning expertise.Our approach is always bespoke; we believe in using the best and most cutting edge tools for thejob, rather than limiting the solution to a one size-fits-all platform.Our ServicesTechnology Design, Development & ConsultancyWe design, build and deploy bespoke machine learning models in areas such as:Risk Selection & Pricing Fraud Detection Policyholder RiskCustomer Retention Credit Risk Modelling ManagementModelling Product Development Customer and MarketClaims Management Segmentation Compliance and Regulation

What is Why Now?Machine Learning? Machine learning relies upon two key elements;Machine Learning is a cutting-edge field data and computer processing power, both ofof Artificial Intelligence, blending which are now increasingly available.techniques and principles fromcomputer science, applied statistics It is estimated that only 1% of existing data isand software engineering. being effectively utilised and the rate at which data is being created is doubling every two years.Machine Learning models are highly From smartphones to industrial telematics, thescalable and can analyse and assimilate number of devices collecting data is increasingknowledge from immense volumes of rapidly, with 5.5 million new devices connecteddata, both structured and unstructured. each day. It is estimated that by 2020 there will 25From identifying patterns in the data to billion connected devices, providing a continuousuncovering hidden deep insights, and real-time data feed.machine learning models are able tomake predictions with much greater The volume and rate of data creation currentlyaccuracy than traditional methods, and exceeds the capabilities of most businesses toimprove over time when exposed to fully leverage its value, however Machinenew data. Learning technology offers a powerful and efficient means to achieve this and is nowMachine Learning models can be accessible to most insurance businesses.deployed across the insurance valuechain to solve business problems The value that can be unlocked from data isranging from generating deeper insights immense; it is estimated that the efficienciesinto risk and pricing, to identifying created by Machine Learning will add $15 trillionfraudulent claims to optimising to the global economy over the next few decades.operational processes.

For more information please contact: Email: [email protected] Tel: +44 (0)20 80335956