
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-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.

Founded in pandemic lockdown, Workwize seized its chance to cater for the sudden emergence of borderless workforces. CEO Michiel Meyer discusses the forces at play.

As AI adoption accelerates, emerging legislation focuses on protecting personal data, managing risks, and preventing bias, creating a complex legal landscape for global businesses.

Neo4j Chief Scientist Jim Webber explains how graph databases are the future of data management in a world of vast, complex datasets and AI.

Mike Ettling, CEO of Unit4 discusses the balance between AI innovation and potential overreach in ERP systems.

John Sullivan, IBM iX EMEA Managing Partner explores how generative AI can revolutionise marketing while safeguarding brand trust and reputation.

In 2025, AI will see the rise of generative AI commoditisation, agent-based systems, and a renewed focus on trustworthy, non-generative AI and workforce readiness.

To stay competitive, businesses must embrace digital transformation by evolving products, adopting future technologies, and fostering innovation for long-term sustainability and growth.

Art Maria explores why 5G’s potential remains unrealized, and suggests it may be tech giants – not mobile providers – who are likely to profit from future 5G advancements.

European firms’ AI plans are at risk due to data infrastructure blind spots, with many prioritising recovery from cyberattacks over effective prevention and mitigation strategies.

Cyber deterrence shifts cybersecurity from reactive to proactive, disrupting attackers’ motives by targeting their incentives. The PARC Framework addresses profit, anonymity, repercussions, and costs, reducing attack likelihood.

AI’s rapid growth requires balanced innovation, managing expectations, and human oversight. Pragmatic automation, careful investment, and governance are key to avoiding overhype and disillusionment.

Effective data governance is the cornerstone of efficient data utilisation. Decentralising decision-making empowers businesses, promotes innovation, and alleviates IT burdens by enabling a self-service approach to data access and management.

The cloud makes real-time intelligence available to decision makers on demand, enabling resilient and sustainable growth even in uncertain times.

Decentralised digital identities (DCI) promise enhanced security and user control. However, widespread adoption faces challenges, including the need for better education and clearer benefits.

Economic downturns challenge stability but offer IT leaders opportunities to innovate, align strategies with business goals, optimise costs, and drive future success.

The NIS 2 directive enhances cybersecurity in critical industries, requiring proactive compliance and better risk management to mitigate cyber attack risks and improve security standards.

Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.

To bridge the UK’s productivity gap, modernising systems, adapting work habits, and boosting digital skills across all organisational levels are crucial strategies.

Gartner highlights GenAI’s revolutionary impact on D&A governance, enhancing automated decision-making and improving non-technical user engagement in governance processes.

Amidst a perfect storm of disruptions, only a small fraction of CDAOs prioritise risk management, revealing a strategic gap with board expectations.

Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.

AI is already showing what it can do in service of the legal profession. But in order for AI to succeed, it needs the lawyers to step up.

AI’s emergence in housebuilding marks a pivotal shift, enhancing operations from customer service to data analysis. As we embrace innovation, efficiency and quality converge.

Unlocking GenAI’s Potential: Embrace Synthetic Data, Autonomous Agents, and Sustainable Practices for innovation and growth.

Transforming the UK’s biggest water company to deliver a service revolution for its customers.

Green Flag is reconstructing its technology and operating model to offer an even better service to its customers.

This month, Ben, Rom and James tackle the topical subject of quantum computing. When we will see some practical use cases? Will it change the world? Can three journalists get their heads around the science?
Ben also interviews Faethm AI CEO Michael Priddis about the evolution of work.
AIOps can reduce IT chaos and boost ROI. Real-world examples and expert insight from Riverbed’s Charbel Khneisser on the NODE Podcast.

Slyce CEO Ted Mann on the rise of visual search

We speak to Phil Siveter, CEO of Nokia UK&I.

As data management evolves from lakes to fabrics, organisations must address integration challenges and privacy concerns while leveraging AI and automation for real-time insights and efficient data governance.

Founded in pandemic lockdown, Workwize seized its chance to cater for the sudden emergence of borderless workforces. CEO Michiel Meyer discusses the forces at play.

As AI adoption accelerates, emerging legislation focuses on protecting personal data, managing risks, and preventing bias, creating a complex legal landscape for global businesses.

Neo4j Chief Scientist Jim Webber explains how graph databases are the future of data management in a world of vast, complex datasets and AI.

Mike Ettling, CEO of Unit4 discusses the balance between AI innovation and potential overreach in ERP systems.

John Sullivan, IBM iX EMEA Managing Partner explores how generative AI can revolutionise marketing while safeguarding brand trust and reputation.

In 2025, AI will see the rise of generative AI commoditisation, agent-based systems, and a renewed focus on trustworthy, non-generative AI and workforce readiness.

To stay competitive, businesses must embrace digital transformation by evolving products, adopting future technologies, and fostering innovation for long-term sustainability and growth.

Art Maria explores why 5G’s potential remains unrealized, and suggests it may be tech giants – not mobile providers – who are likely to profit from future 5G advancements.

European firms’ AI plans are at risk due to data infrastructure blind spots, with many prioritising recovery from cyberattacks over effective prevention and mitigation strategies.

Cyber deterrence shifts cybersecurity from reactive to proactive, disrupting attackers’ motives by targeting their incentives. The PARC Framework addresses profit, anonymity, repercussions, and costs, reducing attack likelihood.

AI’s rapid growth requires balanced innovation, managing expectations, and human oversight. Pragmatic automation, careful investment, and governance are key to avoiding overhype and disillusionment.

Effective data governance is the cornerstone of efficient data utilisation. Decentralising decision-making empowers businesses, promotes innovation, and alleviates IT burdens by enabling a self-service approach to data access and management.

The cloud makes real-time intelligence available to decision makers on demand, enabling resilient and sustainable growth even in uncertain times.

Decentralised digital identities (DCI) promise enhanced security and user control. However, widespread adoption faces challenges, including the need for better education and clearer benefits.

Economic downturns challenge stability but offer IT leaders opportunities to innovate, align strategies with business goals, optimise costs, and drive future success.

The NIS 2 directive enhances cybersecurity in critical industries, requiring proactive compliance and better risk management to mitigate cyber attack risks and improve security standards.

Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.

To bridge the UK’s productivity gap, modernising systems, adapting work habits, and boosting digital skills across all organisational levels are crucial strategies.

Gartner highlights GenAI’s revolutionary impact on D&A governance, enhancing automated decision-making and improving non-technical user engagement in governance processes.

Amidst a perfect storm of disruptions, only a small fraction of CDAOs prioritise risk management, revealing a strategic gap with board expectations.

Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.

AI is already showing what it can do in service of the legal profession. But in order for AI to succeed, it needs the lawyers to step up.

AI’s emergence in housebuilding marks a pivotal shift, enhancing operations from customer service to data analysis. As we embrace innovation, efficiency and quality converge.