
Earnix Excelerate 2021
Relive every moment from Earnix Eˣcelerate 2021



All the sessions on demand, in one place, at your own pace
Whether you are looking to revisit the tracks and individual sessions you found most valuable or discover new ones that you missed the first time, they are now all available to view at your convenience.
Earnix Excelerate – Banking Track
November 26, 2021
The digital transformation – what does it really mean? And how are banks embarking on the journey to more risk-based and dynamic pricing? This track is where the top banking minds come together, to bring you valuable knowledge about the sector and its future.
Earnix Excelerate – Insurance Session Track
November 26, 2021
Personalization, profits and more sophisticated pricing are just a few of the topics covered in this track. Leading industry experts from the insurance sector will be discussing all you need to know about current and future trends, technologies and more.
10 Trends Changing the Insurance Industry in 2022
November 21, 2021
In this session, Seth Rachlin, Executive Vice President and Global Insurance Industry Leader at Capgemini, shares his insights and expert analysis on the 10 trends that are sure to be impactful in 2022 and beyond.
Best Practices in Leveraging Analytics for Pricing
November 21, 2021
This session outlines a framework for successfully quantifying the impact of marketing and pricing actions even in the absence of randomized control groups, while providing practical insights on avoiding common pitfalls for program evaluation.
Boosting Customer Centricity Using AI & Machine Learning
November 21, 2021
Advanced analytics and machine learning have become key to customer-centricity. Paul Davies, Head of Data Science at Domestic and General, shares how Domestic & General uses best-of-breed technology to personalize pricing and marketing.
Data Science’s Last Mile Problem: Algorithm & Business Outcome
November 21, 2021
In this session, James Guszcza, Ph.D., Research Fellow at Stanford University, talks about how data science and AI are major enablers of customer-centric innovation.
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