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AI & Automation

From here to AI - what’s next for regulation and operations?
11 Mar 2026

From here to AI - what’s next for regulation and operations?

A more pragmatic regulatory environment is being created as governments recognise the need to balance AI safety with competitiveness
From shadow AI to strategic advantage

From shadow AI to strategic advantage

11 Mar 2026
From hidden AI features in software to unvetted open-source models, shadow AI can expose organisations to data leakage, compliance failures and cyber-attacks
AI and the UK skills gap

AI and the UK skills gap

11 Mar 2026
AI alignment is the difference between thriving and surviving the UK skills gap
Building software for value

Building software for value

09 Mar 2026
The distance between a business idea and a working technical solution has closed dramatically, thanks to AI-assisted development
AI as a global catastrophic risk

AI as a global catastrophic risk

09 Mar 2026
AI governance is not solely for technologists. Business must reimagine its role, and reassert its collective power, to ensure AI is safe, secure and accountable
Business Reporter: AI in EHS – from adoption to impact 
02 Mar 2026

Business Reporter: AI in EHS – from adoption to impact 

AI is transforming EHS – cutting reporting time, improving risk assessment and boosting data quality with human oversight at its core.
Success through knowledge maturity

Success through knowledge maturity

27 Feb 2026
Knowledge maturity is fundamental to AI success and pivotal for the trust that customers place in organisations that use AI
The Business Case for Ethical AI

The Business Case for Ethical AI

25 Feb 2026
As AI transforms business services, organisations face a critical choice: pursue AI at any cost or embrace ethical implementation as a strategic advantage
Sustainability at the core of AI

Sustainability at the core of AI

22 Feb 2026
As organisations scale AI capabilities, approval processes are evolving, moving from technical risk and regulatory compliance to broader enterprise concerns
AI: why less is more

AI: why less is more

22 Feb 2026
When you reach too far, you compromise quality for quantity. But stay small and get the details right, and you solve real problems for your audience
History: the real value of data for AI
19 Feb 2026

History: the real value of data for AI

Including historical data will help AI see the “why” as well as the “what” behind decisions
AI: from pilot to production

AI: from pilot to production

17 Feb 2026
The gap between running a successful pilot and scaling AI across an organisation is the Death Valley where most initiatives fail
Optimising process repositories

Optimising process repositories

05 Feb 2026
Many workplaces have built elaborate systems for creating information – but failed at making that information accessible when it matters
Modernisation in the face of AI

Modernisation in the face of AI

05 Feb 2026
Where legacy environments are fragmented or unstable, deploying AI becomes slower, more expensive and harder to scale
AI Talk: Closing the AI-ready data gap in modern marketing  

AI Talk: Closing the AI-ready data gap in modern marketing  

04 Feb 2026
Marketing’s AI rush is hitting a data wall. Why composable systems and AI-ready data are the key to turning governance into growth.

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