The Materials Frontier: Powering the Next Era of AI Hardware
As AI grows more powerful and pervasive, the demands placed on the hardware behind it are increasing just as quickly. The semiconductor industry is now facing a... Read more.
Why Your AI Agents Already Have More Privileges Than Your Employees
Seventy percent of organizations grant their AI systems more privileges than they would give a human employee performing the exact same job. And nearly one in five... Read more.
From Glass slides to AI: How digital pathology can transform cancer care in the NHS
Every year, millions of pathology slides are produced in the UK, most still examined manually under a microscope. This century-old process, though reliable, is no... Read more.
Your CEO’s Earnings Call Is Training Data for the Next Attack
Across boardrooms worldwide, directors are debating AI governance frameworks, scrutinizing AI adoption strategies and asking their management teams hard questions... Read more.
As fleet technology evolves, resilience is vital
Fleet technology has transformed the transport and logistics sector over the past decade. From connected vehicles and telematics to AI-powered decision making, operators... Read more.
AI Startups Are Drowning in Capital Yet Starving for Credibility
Global startup funding reached record levels in February 2026, fueled largely by massive AI investments. According to Crunchbase, 83% of that capital flowed to just... Read more.
The Next Phase of AI Mental Health Is Recovery Environments
The first wave of AI mental health has been built around conversation. A person feels anxious, lonely, overwhelmed or unable to sleep. They open a chatbot and... Read more.
E-commerce Without Limits: How AI Unlocks New Retail Possibilities
E-commerce is quietly becoming one of the industries most transformed by AI. According to Stord, 74% of e-commerce leaders name AI as their primary driver for 2026.... Read more.
The future of AI in finance is deliverables-first
In finance, every new engagement means producing the materials required to support it: decks, models, and memos that turn scattered, messy data into clear insights. ... Read more.
Grid to Chip: The Holistic Approach to Supporting AI in the Data Centre
Stand First: New and innovative approaches are necessary to allow data centre owners and operators to confidently deal with new AI requirements, to reduce risks... Read more.