Welcome to this week’s issue of Risk, Bytes and Beyond - your bi-weekly roundup of the latest insights at the intersection of data analytics, artificial intelligence and insurance. Delivered to your inbox every second Friday! In each edition, you’ll find:
Curated content from experts in data and insurance
An insight brief on a changing topic
The latest headlines on data and AI in insurance
Thanks for reading - let’s dive in!
💡 Noteworthy Content
This article from BCG highlights that while insurers are early leaders in piloting predictive and generative AI, only 7 percent have successfully scaled these efforts across their organizations, pointing to cultural, structural, and operational barriers that hold others back. It argues that companies that invest boldly, foster cross-functional accountability, and focus on high-value use cases stand to transform productivity and customer engagement at enterprise scale.
Fraudulent claims cost insurers billions each year, but traditional detection methods can’t keep pace with modern schemes. This article explores how AI, predictive analytics, and big data are shifting fraud detection from reactive checks to proactive defenses, with examples of insurers already cutting losses and accelerating legitimate claims.
💭 Insight Brief
Data Culture Eats Data Strategy for Breakfast
Peter Drucker once said, “Culture eats strategy for breakfast.” The idea still rings true today. A company can spend months designing the perfect strategy, package it into a glossy presentation, and share it with excitement at a shareholder meeting. But if the culture, the everyday mindset, values, and behaviors of the people carrying out that strategy, doesn’t support it, the plan won’t survive beyond the slides.
The Data Dilemma
The same goes for data. Executives can declare that their company is “data-driven” or “AI-first,” but slogans don’t mean much if day-to-day decisions are still driven by instinct and if data is treated like an afterthought in daily operations.
If teams don’t see data as part of their normal workflow, the bold vision never makes it past the press release.
A strategy without cultural buy-in is just talk.
Building a Data Culture
Real change comes from shaping culture, not just announcing direction. That means making data easy to access, reliable, and central to how decisions get made. It also means rewarding teams who use data thoughtfully, creating space for experimentation, and weaving analytics into everyday processes.
When data becomes part of how people think and work, the strategy stops being a plan on paper and starts becoming reality.
📰 Industry Headlines
Blue Shield of California has revealed that a misconfiguration in Google Analytics inadvertently exposed protected health information of up to 4.7 million members, ranging from ZIP codes and plan types to medical‐service search queries, for targeted advertising, marking it one of the most substantial health-insurance data slips of the year.
CyberCube has introduced Exposure Manager, a tool designed to give insurers, reinsurers, and brokers a standardized and data-driven view of cyber portfolio risk. By moving beyond fragmented reporting and narrative-driven assessments, the platform aims to support more transparent decision-making, improve portfolio health tracking, and strengthen resilience in a fast-evolving cyber risk environment.
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