Beyond Personalization: Unleashing Hyperpersonalization Strategies

Date:

Thursday, June 6, 2024

Time:

11:20 am

Room:

Phoenix Ballroom A

Summary:

In an era where personalization has become the norm, businesses must evolve to meet the increasing expectations of consumers. The session delves into the realm of hyper-personalization, exploring cutting-edge strategies that go beyond surface level customization to deeply engage and resonate with individual customers. We will discuss business context and high-level model architecture of a hyper-personalization framework in the presentation.

Machine Learning Analysis of Road Segment Level Driving Data

Date:

Thursday, June 6, 2024

Time:

11:45 am

Summary:

When analyzing geographical risk for auto rating, the focus is primarily on company experience, which can lack credibility and be slow to react to changing conditions. To address this, companies typically incorporate a complement of credibility, such as data from a statistical organization or competitors. Even though this helps address the credibility issue, it still suffers from only providing a limited view of the complete geographical picture and remains slow to respond to changing conditions. This session will describe how the use of machine learning applied to detailed road segment data provides a more accurate and dynamic view into the geographic risk associated with auto insurance.

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