Tag: AI

Trust is now the differentiator: AI capability is rising fast, but enterprise adoption depends on governance, explainability and control. User-first beats tool-first: The winning model is bringing AI into the flow of work, not forcing people to learn complex tooling. Boring is what scales: Predictable, policy-aligned and auditable AI is what turns pilots into production outcomes.

How the Semaphore platform enhances Microsoft Purview with semantic metadata, improving classification accuracy, scalability and governance readiness for enterprise AI and compliance.

AI fines are no longer theoretical; regulators are now enforcing control requirements as AI moves from pilots to production in financial services. The post explains why contracts alone won’t satisfy supervisors, what evidence regulators will expect to see in production and how organizations can operationalize governed, defensible AI with runtime guardrails, provenance, lineage and auditable controls—setting the agenda for the RegTech Conference in London on March 26.

ICYMI: Elizabeth Edwards talks affective science, ethical marketing and why credibility is the new growth lever.

What does the term “agentic” or “agent” mean in AI? How is it different from “predictive AI”? How does any of this apply to your business? This post breaks it down.