Insights
-

Building a practical AI governance foundation in regulated industries
Verista’s David Garratt explains practical AI governance for regulated industries. He argues that regulated organisations need automated controls, risk classification, and governance specialists to close the gap between AI adoption and oversight.
-

The cloud is not the weak link in payments — outdated architecture is
Robert Kraal, Silverflow co-founder, says payments resilience starts with architecture. He argues the cloud is not the weak link when dependencies, failover, and concentration risk are properly designed.
-

Understanding the environmental footprint of AI
AI’s environmental footprint is becoming a serious business infrastructure issue. Saskia van Gendt, Chief Sustainability Officer at Blue Yonder, examines how energy, water, and carbon impacts can be managed through cleaner infrastructure and more disciplined AI deployment.
-

Private AI looks different by industry, but the data infrastructure lesson is the same
Private AI now turns on infrastructure as much as models. Paul Speciale, CMO at Scality, argues that industry workloads differ, but the data pipeline determines whether AI can move safely into production.
-

The age of AI industrialisation in banking
Icon Solutions’ Tamsin Crossland examines banking’s artificial intelligence industrialisation challenge. The principal AI architect argues that banks now need stronger data foundations, operational governance, and flexible infrastructure to move beyond pilots.
-

Business leaders don’t know the difference between AI and IA – and it’s costing them
The business world is fighting a dangerous case of AI FOMO.
-

ChatGPT shopping traffic remains niche
New research suggests ChatGPT is useful for complex shopping, but not yet a broad commerce channel.
-

Made in TSMC: AI content disclosure rules are coming
Europe wants clearer labels on machine-made digital content. The next compliance burden will sit inside publishing, procurement, marketing, customer service, and public communications.
-

It’s time to prove the public sector’s productivity promise
Public-sector AI claims are now measured in saved hours. The harder question is whether those hours become better services, lower backlogs, safer systems, and less pressure on staff.
-

London Tech Week put Britain’s infrastructure gap on show
London Tech Week exposed the hardware behind Britain’s AI ambition. Investment headlines now have to survive contact with chips, power, land, data centres, and the grid connections needed to make them useful.











