4 core insurance functions primed to benefit from agentic AI
Agentic AI in insurance has potential to transform insurance. Read four use cases.
Artificial Intelligence
Traditional ALM is no longer enough – here’s why
Asset and liability management (ALM) is still a cornerstone of banking. But when market conditions shift quickly, as they increasingly do, it no longer reflects how banks actually experience and manage risk, capital and profitability. The environment has changed. Volatility is now persistent rather than episodic. Regulatory expectations continue to
What’s holding back AI impact in banking?
If AI ambition inside your bank is starting to collide with day‑to‑day delivery realities, this six‑minute video is worth your time. It’s a “cut through the noise” conversation about what’s shaping banks right now: risks, opportunities and the reality behind the hype. AI’s impact depends on the foundation Listen to
Overcoming the AI trust dilemma: Key strategies for public sector leaders
Few words stir both excitement and fear quite like AI. Similar to a carnival rollercoaster, some people lean into the thrill, while others clutch their safety bar. The promise of AI seems limitless, but so does the risk of going off the rails. This dynamic is playing out across government,
What’s next for customer engagement
Customer engagement is entering a new era that’s evolving very quickly. And it’s not defined by more messages or channels – it centers on intelligence, autonomy and trust. As organizations rethink how they connect with customers, a new model is emerging: engagement that predicts, learns and acts with purpose. In
Why decision intelligence? It’s the unifying infrastructure for the enterprise
There’s a new reality. Managing, organizing and analyzing data alone is no longer enough. What really matters is how decisions are made, governed and executed. To be successful, enterprises need a unified approach that allows decisions to sit at the center, bringing people, systems and data together. While there are
Insurance and the trust imperative: How to scale AI safely
Insurance is a business built on trust. Each 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,
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
Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector
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,
What a modern governance platform looks like – and how to choose the right one
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