Insurance is a business built on trust. Policy represents a promise that insurers must be able to explain, defend and ultimately fulfill. When you add in AI becoming more embedded in underwriting, pricing, claims and customer engagement, that promise is being mediated by data and algorithms. An IDC report, commissioned
Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning,
Governance, risk and compliance (GRC) has evolved beyond a control mechanism or regulatory safeguard. In today’s environment, it forms the operational backbone of effective corporate management – enabling organizations to identify risks early, meet regulatory expectations reliably, and ensure that decisions and processes remain transparent and traceable. Yet many organizations still
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,
It’s 5:05 p.m., and a procurement analyst is staring at a new 47-event alert with no clear sense of which flags are truly high-risk. Across the hall, a compliance lead has just uncovered a low-risk event that sat untouched in a queue for 19 days. These moments capture a broader
Credit processes in banking are at a turning point. Volatile markets, new competitors, increasing regulatory requirements and an exponentially growing database are putting unprecedented pressure on traditional, largely manual and siloed processes. At the same time, customers expect fast and consistent decisions, while regulators demand transparency, traceability, and control. In
With all the change that’s happened in the past decade, a few key things remain the same across health care and life sciences. Clinical trials remain the engine behind every new therapy, care delivery systems determine whether patients receive timely and effective treatment and health care payers must steward finite
Improve AI readiness, governance and trust by establishing a modern data estate.
As a public sector leader, the pressure to resolve operational issues in your organization is constant, and you may be considering new or better AI models, AI agents or more broadly applied generative AI (GenAI) applications. At the same time, growing use of AI can raise issues related to accountability,
If it’s about building better systems, we must ask: Better for whom? In parts one and two of this series, I’ve looked at AI engineering as the discipline that integrates technical practices and orchestrates the -Ops landscape. And I’ve addressed end-to-end accountability, shared governance, and adaptive resilience. But there's a
