Author : Carla M. Dingman

Improving trust in agentic AI for finance workflows remains a major priority for technology leaders today. Over the past two years, enterprises have rushed to...

Agentic finance AI improves business efficiency and ROI only when deployed with strict governance and clear return on investment targets. A recent FT Longitude survey...

A recent demonstration from Mastercard suggests that payment systems may be heading toward a future where software agents, not people, complete purchases. During the India...

AI dairy farming has found its most ambitious deployment yet – not in a Silicon Valley lab nor a European agri-tech campus, but in the...

AI in the APAC retail sector is transitioning from analytics and pilots into workflows and daily operations. Dense urban stores, high labour churn, and competitive...

The adoption of AI for enterprise treasury management enables businesses to abandon manual spreadsheets for automated data pipelines. Corporate finance departments face pressure from market...

For leaders in the financial sector, the experimental phase of generative AI has concluded and the focus for 2026 is operational integration. While early adoption...

The release of Alibaba’s latest Qwen model challenges proprietary AI model economics with comparable performance on commodity hardware. While US-based labs have historically held the...

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...

State-sponsored hackers are exploiting highly-advanced tooling to accelerate their particular flavours of cyberattacks, with threat actors from Iran, North Korea, China, and Russia using models...