Category: AI & Automation
Retailers are not short of data. Much of it is already sitting in BigQuery.
The answers may already exist. The difficulty is accessing them quickly, confidently and in a form that helps someone decide what to do next.
Businesses are getting excited about AI agents.
The issue is that many are not ready for what happens when software starts making decisions, triggering workflows, moving data or taking action across systems.
Most businesses are running AI experiments. Few are getting results. The model is rarely the problem. Failures cluster around data readiness, integration architecture, and change management.
Launching an AI pilot is not the difficult part. Turning that pilot into something useful, measurable and safe enough to run inside the business is where many firms are now getting stuck.
Nearly 1 in 3 employees across the UK and Europe are actively sabotaging their company’s AI strategy. Not dragging their feet. Not quietly ignoring new tools. Deliberately undermining the rollout.
A new breed of systems — what people are increasingly calling agentic AI — is pushing artificial intelligence from a tool for insight into something that actually takes action. Not advising on what should happen. Doing it.
Success comes not from moving faster, but from gaining leverage: the right partnerships, the right priorities, and the right decisions made at the right time. Today, there’s a new dimension to that challenge: Artificial Intelligence.
As enterprises rush to adopt AI, two headline-grabbing releases from late 2025 demand your attention: Amazon Nova 2 from Amazon Web Services (AWS) and Gemini 3 from Google DeepMind / Google. They signal diverging strategic bets: Nova 2 aims to be the workhorse AI for enterprise-scale use, while Gemini 3 pursues top-tier performance and flexibility […]
Every time you ask ChatGPT to write an email or generate an image, somewhere in the world, a data centre is quietly draining the equivalent of several bathtubs of water.
