For many organisations, AI transformation does not begin with customer-facing chatbots or high-profile product launches. It starts internally — within the operational systems that keep the enterprise running. Human resources
Finance leaders are shifting from AI experimentation to operational deployment, and the results are becoming measurable. While many general AI initiatives report solid returns, autonomous agent systems are outperforming them
An operational AI forecasting system developed by researchers at the University of Hertfordshire is aiming to transform how healthcare organisations allocate staff, manage patient flow, and plan infrastructure. Rather than
The generative AI market is overflowing with assistants. Most follow the same pattern: generate a draft, hand it to the user, and leave the final execution to a patchwork of
Artificial intelligence inside large organisations is shifting from experimentation to execution. For years, enterprise AI largely meant assistive tools that helped employees draft content, answer questions, or automate isolated tasks.
As AI agents move from experimental demos to production systems, engineering teams are running into a familiar problem: reliability. Large language models are inherently probabilistic. A prompt that succeeds once
As the artificial intelligence industry pivots toward agentic AI — systems capable of autonomously executing multi-step tasks — a clear geographic split is emerging in how the technology is being
For many large enterprises, the most valuable applications of artificial intelligence are emerging far from email inboxes and chat interfaces. At PepsiCo, AI is being tested where errors are expensive
Insurance giant Travelers is rapidly expanding its use of artificial intelligence, recently announcing a new agreement that equips roughly 10,000 engineers and data scientists with AI assistants. Yet company leadership