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Displaying "AI" articles (21)

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The State of Pet Insurance

The pet insurance industry is experiencing significant growth, driven by increased pet ownership and rising veterinary costs. This whitepaper explores the industry's expansion in North America, highlighting the challenges of operational inefficiencies and the opportunities presented by advanced analytics and artificial intelligence.

Unlocking the Benefits of AI-Powered Pricing Analytics in Consumer and Auto Lending

Many banks involved in consumer lending turn to AI-powered pricing analytics and digital decisioning to support their long-term growth strategies. Loan profitability uplift, faster time to market, more accurate forecasting, and improved productivity are game-changers for lenders big and small. 

Responsible AI - Privacy, Transparency, and Fairness in Insurance

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.

ITC 2023: AI and Analytics: The Landscape

ITC 2023: AI and Analytics: The Landscape

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.

Using Pricing Analytics to Increase Loan Profitability and Mitigate Portfolio Risk

Using Pricing Analytics to Increase Loan Profitability and Mitigate Portfolio Risk

What strategies and tools can help lenders maintain their competitive position while focusing on the bottom line? We invite you to join our webinar discussing the role of AI-backed analytics in increasing profitability of auto loans and mitigating risk.

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.

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.
Real-Time Banking Pricing Decisions. Big Time Results

Real-Time Banking Pricing Decisions. Big Time Results

Through its real-time pricing solution, Earnix gives banks the power to deliver pricing and personalization - faster than ever before. A solution that is capable of complex modeling, analytically driven automation, testing and deployment.