When AI writes code, who owns the mistakes?
AI-generated code is accelerating enterprise software delivery, but weak accountability, inconsistent controls and regulatory deadlines are exposing a critical governance gap for engineering leaders today.
AI
AI pilots are easy. Getting them into production is the hard part
Enterprise AI pilots often stall before production. Rhys Oxenham explains how infrastructure, governance, security and operational ownership can close the production gap responsibly at scale
All AI, no ROI: How to escape the adoption theatre trap
AI adoption is booming, but business value often lags. Divya Sampath explains how organisations can move beyond experimentation, measure outcomes and scale AI effectively, sustainably.
Beyond bigger budgets: How ecommerce brands can make AI deliver
AI investment alone will not improve ecommerce performance. Retailers need focused use cases, trusted data, clear ownership and measurable outcomes to turn budgets into value.
Driving AI success from the CFO’s seat
AI is reshaping CFO responsibilities as finance leaders balance rising token-based costs, governance, security risks and measurable returns while organisations scale hybrid AI adoption responsibly.
Why the next AI bottleneck isn’t bigger models. It’s context
AI’s next enterprise bottleneck is context: connecting facts, relationships, rules and relevance so agents can make governed, explainable decisions inside real business workflows at scale.
Shadow AI isn’t an employee problem. It’s a leadership problem
Theo Bergqvist, CEO of Turbotic, explains why tackling shadow AI requires leaders to provide clear governance, approved tools and training, rather than simply blaming employees.
Gartner: CISO’s balancing act as cyber debt and AI ambition collide
AI ambition is colliding with cyber debt, forcing CISOs to rethink technical debt, agentic AI, identity, governance, resilience and post-quantum preparation for 2027 and beyond.
The ‘good enough’ trap and adaptive performance: AI makes us faster, but can it make us better?
AI can accelerate competent work, but leaders must protect the deliberate practice, judgement and adaptive performance that turn efficient employees into exceptional performers over time.
The hidden barrier holding back AI transformation in banking
Banks must uncover undocumented human judgement and broken workarounds before deploying AI agents, ensuring automation improves processes rather than scaling hidden operational weaknesses across banking.
The myth of the one-size-fits-all AI
Rajesh Iyer explains why enterprise AI governance must separate consumer, private, civic and sovereign defence systems to protect data and trust.
AI dependency is the next cyber resilience risk
AI dependency is creating hidden concentration risk as organisations rely on shared models, cloud platforms and infrastructure, making resilience, optionality and exit planning increasingly critical.
AI is changing banking but architecture will decide who wins
AI is reshaping banking, but architecture will determine whether banks can move beyond chatbots to deliver secure, scalable, action-driven customer experiences with intelligent agents successfully.
The growing role of AI agents in insider risk
AI agents are reshaping insider risk, as excessive permissions, shadow AI and autonomous behaviour create new security challenges for organisations managing sensitive data and resilience.
Can the UK’s data centre infrastructure keep pace with the AI boom?
Can UK data centre infrastructure support the AI boom? Industry experts explore the power, supply chain and skills challenges shaping the country’s digital future.
Connected ERP and always-on data are key to AI in manufacturing
UK manufacturers can unlock greater value from AI by modernising ERP, connecting data and building the digital foundations needed for smarter operations.
The missing half of the AI security conversation
AI can uncover complex software vulnerabilities, but enterprise security demands deterministic testing, independent controls, continuous assurance and governance that AI reasoning alone cannot provide.
The Fintech winners of tomorrow will be the ones who find their feeling
Fintech has mastered product innovation, but future growth depends on something harder to engineer: emotional connection, human storytelling and the trust that builds lasting relationships.
The AI offsec era is changing everything, except what actually matters
Daniel Bechenea explores how AI is reshaping offensive security while reliability, workflow complexity, human judgement and critical thinking remain essential to effective security work.
You can’t automate your way to a happier, more engaged workforce
As AI reshapes media and marketing, Jason Warner explores why leaders must invest in employee engagement, development and transparency alongside technological transformation to succeed.
Beyond the model: why sovereign AI will define the future of critical services
Sovereign AI is reshaping critical services by combining advanced technology with trusted infrastructure, secure data governance, domain expertise and greater operational control.
AI without governance could come back to bite you
Dr John Bates explains why trusted enterprise AI depends on strong governance, high-quality data, robust security, traceable sources and effective enterprise content management.
Why AI value depends on enterprise redesign
AI value depends on enterprise redesign, with stronger data, modern systems, efficient architecture, governance and human-AI workflows turning experimentation into sustainable business performance.
Eliminating payment dead zones with AI observability
Mark Tomlinson explores how AI observability, streaming telemetry and automated failover can eliminate payment blind spots, reduce outages and protect revenue at checkout.
Transformation, Delivered
How Salling Group successfully built a grocery home delivery service at turbo-speed during COVID-19.
Meeting Automation Demands
A fresh approach to automation is driving new efficiencies in ABB’s Procurement & Logistics (GBS) organisation.
The power of 6
Roger Nichols, Keysight’s 6G programme manager explores what is needed to make the 6G vision a reality.
Reality dawns
How VR and AR could illuminate data in new ways
The Virtual Cloud Network
VMware’s Alanzo Blackstock says businesses could be transformed by adopting a software-powered network
Embracing a new era of connectivity
Samsung’s Kate Beaumont talks about the potential of 5G, and how it can transform the way we live and work
Fragmented Reality: Natalie Sidwell & Karthick Sriraman
In this episode, Natalie Sidwell and Karthick Sriraman from Segment explore “digital evangelist”, “agile”, “the future of work” and more.
Figma Dev Mode: The inside story
Figma introduces Dev Mode to bridge the designer-developer gap. The goal: seamless collaboration in digital product development. In conversation with Figma’s Oscar Nilsson and Tom Duncalf.
AI
When AI writes code, who owns the mistakes?
AI-generated code is accelerating enterprise software delivery, but weak accountability, inconsistent controls and regulatory deadlines are exposing a critical governance gap for engineering leaders today.
AI pilots are easy. Getting them into production is the hard part
Enterprise AI pilots often stall before production. Rhys Oxenham explains how infrastructure, governance, security and operational ownership can close the production gap responsibly at scale
All AI, no ROI: How to escape the adoption theatre trap
AI adoption is booming, but business value often lags. Divya Sampath explains how organisations can move beyond experimentation, measure outcomes and scale AI effectively, sustainably.
Beyond bigger budgets: How ecommerce brands can make AI deliver
AI investment alone will not improve ecommerce performance. Retailers need focused use cases, trusted data, clear ownership and measurable outcomes to turn budgets into value.
Driving AI success from the CFO’s seat
AI is reshaping CFO responsibilities as finance leaders balance rising token-based costs, governance, security risks and measurable returns while organisations scale hybrid AI adoption responsibly.
Why the next AI bottleneck isn’t bigger models. It’s context
AI’s next enterprise bottleneck is context: connecting facts, relationships, rules and relevance so agents can make governed, explainable decisions inside real business workflows at scale.
Shadow AI isn’t an employee problem. It’s a leadership problem
Theo Bergqvist, CEO of Turbotic, explains why tackling shadow AI requires leaders to provide clear governance, approved tools and training, rather than simply blaming employees.
Gartner: CISO’s balancing act as cyber debt and AI ambition collide
AI ambition is colliding with cyber debt, forcing CISOs to rethink technical debt, agentic AI, identity, governance, resilience and post-quantum preparation for 2027 and beyond.
The ‘good enough’ trap and adaptive performance: AI makes us faster, but can it make us better?
AI can accelerate competent work, but leaders must protect the deliberate practice, judgement and adaptive performance that turn efficient employees into exceptional performers over time.
The hidden barrier holding back AI transformation in banking
Banks must uncover undocumented human judgement and broken workarounds before deploying AI agents, ensuring automation improves processes rather than scaling hidden operational weaknesses across banking.
The myth of the one-size-fits-all AI
Rajesh Iyer explains why enterprise AI governance must separate consumer, private, civic and sovereign defence systems to protect data and trust.
AI dependency is the next cyber resilience risk
AI dependency is creating hidden concentration risk as organisations rely on shared models, cloud platforms and infrastructure, making resilience, optionality and exit planning increasingly critical.
AI is changing banking but architecture will decide who wins
AI is reshaping banking, but architecture will determine whether banks can move beyond chatbots to deliver secure, scalable, action-driven customer experiences with intelligent agents successfully.
The growing role of AI agents in insider risk
AI agents are reshaping insider risk, as excessive permissions, shadow AI and autonomous behaviour create new security challenges for organisations managing sensitive data and resilience.
Can the UK’s data centre infrastructure keep pace with the AI boom?
Can UK data centre infrastructure support the AI boom? Industry experts explore the power, supply chain and skills challenges shaping the country’s digital future.
Connected ERP and always-on data are key to AI in manufacturing
UK manufacturers can unlock greater value from AI by modernising ERP, connecting data and building the digital foundations needed for smarter operations.
The missing half of the AI security conversation
AI can uncover complex software vulnerabilities, but enterprise security demands deterministic testing, independent controls, continuous assurance and governance that AI reasoning alone cannot provide.
The Fintech winners of tomorrow will be the ones who find their feeling
Fintech has mastered product innovation, but future growth depends on something harder to engineer: emotional connection, human storytelling and the trust that builds lasting relationships.
The AI offsec era is changing everything, except what actually matters
Daniel Bechenea explores how AI is reshaping offensive security while reliability, workflow complexity, human judgement and critical thinking remain essential to effective security work.
You can’t automate your way to a happier, more engaged workforce
As AI reshapes media and marketing, Jason Warner explores why leaders must invest in employee engagement, development and transparency alongside technological transformation to succeed.
Beyond the model: why sovereign AI will define the future of critical services
Sovereign AI is reshaping critical services by combining advanced technology with trusted infrastructure, secure data governance, domain expertise and greater operational control.
AI without governance could come back to bite you
Dr John Bates explains why trusted enterprise AI depends on strong governance, high-quality data, robust security, traceable sources and effective enterprise content management.
Why AI value depends on enterprise redesign
AI value depends on enterprise redesign, with stronger data, modern systems, efficient architecture, governance and human-AI workflows turning experimentation into sustainable business performance.
Eliminating payment dead zones with AI observability
Mark Tomlinson explores how AI observability, streaming telemetry and automated failover can eliminate payment blind spots, reduce outages and protect revenue at checkout.