Identity management has always felt straightforward, at least on paper. You create user accounts, grant access based on roles, and deactivate credentials when people move on. But reality isn't that tidy.

The news cycle is fizzing again. Meta’s Superintelligence Labs has reportedly poached multiple top-tier AI researchers from OpenAI and Google DeepMind, dangling packages that could hit $100 million+.

There’s a lot of noise right now about what AI can do, and plenty of demos to back it up. Models are generating code, writing emails, triaging tickets and summarising documents. It all looks seamless. Effortless, even.

Manufacturing is undergoing a quiet revolution, driven not by machinery, but by data and artificial intelligence. In our recent webinar, leaders from across the manufacturing and data landscape gathered to discuss how predictive analytics and real-time insights are helping manufacturers boost efficiency, reduce costs, and achieve measurable impact on the bottom line.

Artificial Intelligence (AI) is no longer a futuristic concept—it’s woven into the very fabric of modern business. But as the technology advances, so does the need for responsibility.

Like a lot of people who started their tech career in the mid-90s, I ended up in Architecture by accident.

Maybe it was because I wasn’t operating at the right level of organisational or technical complexity, but I’d never actually met a Solution or Technical Architect until I became one myself.

Site Reliability Engineering (SRE) has been reshaping how we manage infrastructure at scale, particularly within cloud-native environments.

My first introduction to real identity management was around 25 years ago. A public sector customer that the company I worked for was supporting had a complex and highly secure environment, which meant that strict identity and permissions management were absolutely paramount.

Everyone loves the promise of AI.

Faster decisions. Less manual grunt work. Predictive insights that give you an edge.

But here’s the pain nobody talks about:
The gap between "We’ve bought the AI" and "It’s actually making a difference."

Artificial Intelligence (AI) is no longer a futuristic concept—it’s woven into the very fabric of modern business. But as the technology advances, so does the need for responsibility.

As we move deeper into 2025, AI continues to transform how businesses make data-driven decisions. Business Intelligence (BI) tools are smarter, faster, and more predictive—thanks to AI.