Earnix Excelerate 2021

AI, Machine Learning, and advanced analytics – this is the track where top researchers, scientists and experts from around the world share their insights on the world of tech, insurance and banking. Algorithms, modeling methods and more - it’s all here.

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.

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.

With so much data streaming in, speeding up processes becomes more challenging, and therefore, those with the right technology will have the advantage. In this session, Matteo Carbone discusses how the right technology partner is the key to driving business success.

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.

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.

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.