Contextual Multi-Armed Bandits Meets Causal Inferencing
The Multi-Armed Bandits problem is a classic reinforcement learning problem that demonstrates the exploration–exploitation tradeoff dilemma. To correctly estimate the causal effect of price changes or different financial product bundle offers on consumers’ purchasing decisions, the standard methodology is to perform a randomized controlled trial (RCT). However, RCTs could be expensive, and financial institutions are often reluctant to conduct them for the required period of time.
ITC 2021: On stage with Earnix CEO, Udi Ziv
Today, carriers are under increasing pressure to fully personalize their products and dynamically deliver them to their customers. Fueled by consumer demand, Usage-Based Insurance is one of many trends in personalization poised to make the leap from niche to mainstream. But historically, insurers have struggled to find success creating bespoke offerings profitably and at scale.
Mastering Product Personalization via Data Innovation
Gain a deeper understanding of what Product Personalization is, its value, and what data is most critical to fully automate in the Product Personalization process.
Leveraging Usage based Insurance at Scale & in Real-Time
The past year turned usage-based insurance policies from niche offering to a popular choice by consumers everywhere. As a reaction, many carriers rolled out their first telematics-based products, with the goal to scale up to meet the demand, face competitors and follow the changing moods of a highly volatile market.
Take Insurance Governance Into Your Hands
Our webinar explores how an organization-wide digital transformation goes hand in hand with thorough governance and compliance.
The Price is Right: Using Predictive Analytics to Deliver Personalized Insurance
In this case study, hear how Gore Mutual Insurance and Earnix used predictive analytics solutions to deliver dynamic pricing and personalized insurance products for customers.
Leveraging Scenario Based Analytics and Preparing for the Unexpected with Capgemini
Join Earnix & Capgemini on a discussion on how the use of scenario-based analytics can shrink time-to-insight, time-to-value, and time-to-impact so organizations can optimally respond to both threats and opportunities.