insurance trends

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POOF! Risk evolves, models break and capital vanishes

Consider the following quote from George Box: “All models are wrong, some are useful.” Most of today’s models are free. And models power AI outcomes. When considering your enterprise strategy, AI should fit snuggly into business processes that successfully execute tasks supporting the overall strategic vision – underwriting policies, pricing […] The post POOF! Risk […]

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Reviving the promise of AI with RAG, data and agentic

A quick search through headlines reveals a range of AI-related disappointments. Consider that 95% of GenAI pilots fail, according to MIT. Amazon’s Kiro agent recently sparked a 13-hour outage by deleting a production environment. And we can’t forget that the resource and energy strain from a new wave of AI […] The post Reviving the

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The business of making decisions

Settling a claim. Underwriting a policy. Serving a customer. Every step in insurance is a decision and every decision shapes trust. From quote to claim, insurers operate in a continuous loop of high-stakes choices. These are the moments that determine whether customers feel protected or exposed. That pressure is only […] The post The business

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Valuable customers? Insurers toe the line with agentic AI

Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans […] The post Valuable customers?

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The hunt for (Reddit) data is over

A nagging question remains after asking, “What’s next after zero-click search?” How do frontier models – like OpenAI’s o3 series or Google’s Gemini 3 – learn? Garbage in, garbage out Large language models (LLMs) learn from massive amounts of text data, including billions of words, public information, and, you guessed it, […] The post The hunt

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