Category: Agentic AI
Here’s a great chat I had with Marc Hardwick, were we discussed the evolution of the Hitachi Application Reliability Center (HARC) and how it is being adapted to meet the…
Enterprise AI is accumulating debt faster than most organisations realise. The debt is not in the models – it’s in the plumbing around them. Teams build agents, wire…
Why the unit of scale for enterprise AI isn’t only the agent The pattern is familiar. A team builds an agent to automate triage. Another builds one to…
SaaS has always had its comfort blankets: seats, dashboards, admin consoles, and the sacred renewal motion. But something is changing! When AI can do the “clicky work”, summarise…
We often mistake the “Agent” in AI for style; with a persona, tone, conversational flow, as if that’s where all the magic happens. But real innovation lies underneath:…
When I first wrote about timeseries models, my argument was straightforward: this domain was lagging. Natural language had its transformers. Vision had its foundation models. But timeseries –…
Application security has always followed a familiar arc. First it was the website. Then the API. Then the LLM API. Now comes something stranger and more pervasive; the…
The UK’s new AI assurance roadmap is pointing the market toward something more useful than tool audits: independently assured solutions that combine software, operating model, controls, and evidence. That direction…
So, Microsoft’s MCP Dev Days is live and has revealed one of the most significant OS-level shifts in recent years: the formal introduction of agents as native citizens…
Agentic AI isn’t just “the next wave of AI”. It’s going to be the new backbone for how enterprise will work. Not theoretically. Not in a lab. But…