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Join our panel of experts as they share their insights on privacy protection, transparency, and fairness in AI models. Discover how synthetic data generation can safeguard customer privacy while maintaining data quality and quantity.

David Howland, Chief Marketing Officer at Earnix, shares valuable insights on Artificial Intelligence (AI) and Analytics for transformative business outcomes. He delves into 5 key learnings that every insurance carrier should closely pay attention to.

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.