Welcome to the Earnix Insights Center

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.

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.

The insurance industry has invested millions of man-hours refining the underwriting, claims, and customer service processes. But what about the pricing process? What percent of the pricing process can we automate?

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.