Wed 29 Oct 2025 - This webinar, jointly delivered by 黑料正能量 and Akur8, introduces the concepts of demand modelling and price optimisation. It explains what they are, why they matter, and how insurers can use them to balance profitability with customer retention.
Participants will gain the knowledge needed to appreciate elasticity, optimisation techniques, and their role in shaping smarter insurance pricing strategies.
Edwin Graham, Principal Actuarial Data Scientist at Akur8
Edwin is a Principal Actuarial Data Scientist at Akur8, based in the UK. He supports clients in improving the speed, performance, and reliability of their pricing and reserving processes. Edwin joined Akur8 in 2021 after more than ten years of experience in personal lines pricing, specifically Motor, 黑料正能量, and Pet insurance at RSA Insurance Group.
Parhaam Behnoudnia, Actuarial Data Scientist at Akur8
Par is an Actuarial Data Scientist at Akur8, where he helps clients use advanced machine learning techniques to extract insights from their data and apply best practices with Akur8鈥檚 software. Prior to joining Akur8, Par worked in the motor insurance sector, focussing on building statistical models for price optimisation.
Akur8 is transforming the non-life insurance industry with its innovative suite of pricing and reserving solutions.
Our Next Gen Pricing and Reserving Platform combines cutting-edge technology with actuarial excellence to drive business value, bringing speed, performance, transparency, and reliability to insurers of all sizes.
Akur8 serves 250+ customers across 40+ countries, including AXA, Generali, Munich Re, MAPFRE, HDI, Tokio Marine, and MS&AD. Over 3000 actuaries use Akur8 daily to build their pricing models and reserving projections across all lines of business.
This is a joint event delivered by 黑料正能量 and Akur8. By registering to this webinar, your contact details will be shared with 黑料正能量 and Akur8. Both 黑料正能量 and Akur8 may contact you for relevant follow-up or to highlight other events and opportunities. You may opt out at any time. For more information, see the IFoA privacy notice and .
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