AI in Action

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Debenhams pilots agentic AI commerce via PayPal integration

Debenhams is piloting agentic AI commerce via PayPal integration to reduce mobile friction and help solve a familiar problem for retailers. Mobile checkout abandonment remains a persistent revenue leak for digital retailers. Debenhams Group is attempting to close this gap by deploying an agentic AI interface within the PayPal app. The pilot makes Debenhams the […]

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AI forecasting model targets healthcare resource efficiency

An operational AI forecasting model developed by Hertfordshire University researchers aims to improve resource efficiency within healthcare. Public sector organisations often hold large archives of historical data that do not inform forward-looking decisions. A partnership between the University of Hertfordshire and regional NHS health bodies addresses this issue by applying machine learning to operational planning.

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Agentic AI drives finance ROI in accounts payable automation

Finance leaders are driving ROI using agentic AI for accounts payable automation, turning manual tasks into autonomous workflows. While general AI projects saw return on investment rise to 67 percent last year, autonomous agents delivered an average ROI of 80 percent by handling complex processes without human intervention. This performance gap demands a change in

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How e& is using HR to bring AI into enterprise operations

For many enterprises, the first real test of AI is not customer-facing products or flashy automation demos. It is the quiet machinery that runs the organisation itself. Human resources, with its mix of routine workflows, compliance needs, and large volumes of structured data, is emerging as one of the earliest areas where companies are pushing

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Alibaba enters physical AI race with open-source robot model RynnBrain

Alibaba has entered the race to build AI that powers robots, not just chatbots. The Chinese tech giant this week unveiled RynnBrain, an open-source model designed to help robots perceive their environment and execute physical tasks.  The move signals China’s accelerating push into physical AI as ageing populations and labour shortages drive demand for machines

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AI deployment in financial services hits an inflexion point as Singapore leads the shift to production

AI deployment in financial services has crossed a critical threshold, with only 2% of institutions globally reporting no AI use whatsoever—a dramatic indicator that the technology has moved decisively from boardroom discussion to operational reality. New research from Finastra surveying 1,509 senior leaders across 11 markets reveals that Singapore financial institutions are leading this transition,

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Barclays bets on AI to cut costs and boost returns

Barclays recorded a 12 % jump in annual profit for 2025, reporting £9.1 billion in earnings before tax, up from £8.1 billion a year earlier. The bank also raised its performance targets out through 2028, aiming for a return on tangible equity (RoTE) of more than 14 %, up from a previous goal of above

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How insurance leaders use agentic AI to cut operational costs

Agentic AI offers insurance leaders a path to scalable efficiency as the sector confronts a tough digital transformation. Insurers hold deep data reserves and employ a workforce skilled in analytic decision-making. Despite these advantages, the industry has largely failed to advance beyond pilot programmes. Research suggests only seven percent of insurers have scaled these initiatives

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Red Hat unifies AI and tactical edge deployment for UK MOD

The UK Ministry of Defence (MOD) has selected Red Hat to architect a unified AI and hybrid cloud backbone across its entire estate. Announced today, the agreement is designed to break down data silos and accelerate the deployment of AI models from the data centre to the tactical edge. For CIOs, it’s part of a

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Agentic AI in healthcare: How Life Sciences marketing could achieve US$450bn in value by 2028

Agentic AI in healthcare is graduating from answering prompts to autonomously executing complex marketing tasks—and life sciences companies are betting their commercial strategies on it. According to a recent report cited by Capgemini Invent, AI agents could generate up to US$450 billion in economic value through revenue uplift and cost savings globally by 2028, with 69% of

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