
AI doesn’t scale on code, it scales on operating models
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.

AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.

Chris Perrin highlights the top 10 cybersecurity threats facing the UK financial services sector, including ransomware, supply chain vulnerabilities, and evolving regulatory challenges.

Steve Elcock, neuroscientist and founder of elementsuite, runs down the global state of play in AI and says effective regulation needs a prefrontal cortex.

Insider threats are rising in financial services, costing organizations millions. Robust security measures and proactive monitoring are essential to mitigate these risks effectively.

AI and ML are revolutionising electronics manufacturing by optimising production processes, improving quality control, and boosting productivity. Embracing these advanced technologies is crucial for success in Industry 4.0.

Cloud migration boosts enterprise ROI, with companies mastering cloud tech seeing significant cost savings and revenue growth. A strategic, transformative approach is essential for success.

The UK’s digital transformation centres on secure digital identity solutions, enhancing public services by simplifying access, ensuring privacy, and promoting inclusivity for all citizens in essential areas including healthcare and education.

Content automation expert John Bates sees hugely responsive content as being within our reach. But what needs to happen to get us over the line?

AI and simulation are revolutionising design optimisation across industries. From chip design to aerospace and automotive, this synergy accelerates innovation, enhances accuracy, and drives efficiency.

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.

Chief Data Architect & Global Head of Engineering Harveer Singh speaks to Digital Bulletin.

How Centrica has replatformed its British Gas business to transform its service to customers.

This month, Ben and Rom are joined by Blue Prism’s Martin Stevenson to discuss our case study on Telefónica Spain and its far-reaching automation programme. Ben also speaks with Glasswall’s Luke Robbertse about the rise of Content Disarm & Reconstruction technology in the cybersecurity space.

In this episode, Natalie Sidwell and Karthick Sriraman from Segment explore “digital evangelist”, “agile”, “the future of work” and more.

A Q&A with Kathryn Baddeley, Cisco’s Head of Corporate Social Responsibility for UK & Ireland

Artificial intelligence is shaking up the site testing game

The rise of AI-driven autonomous sourcing is revolutionising procurement, enhancing efficiency and decision-making, while ensuring human expertise remains central to the process.

Chris Perrin highlights the top 10 cybersecurity threats facing the UK financial services sector, including ransomware, supply chain vulnerabilities, and evolving regulatory challenges.

Steve Elcock, neuroscientist and founder of elementsuite, runs down the global state of play in AI and says effective regulation needs a prefrontal cortex.

Insider threats are rising in financial services, costing organizations millions. Robust security measures and proactive monitoring are essential to mitigate these risks effectively.

AI and ML are revolutionising electronics manufacturing by optimising production processes, improving quality control, and boosting productivity. Embracing these advanced technologies is crucial for success in Industry 4.0.

Cloud migration boosts enterprise ROI, with companies mastering cloud tech seeing significant cost savings and revenue growth. A strategic, transformative approach is essential for success.

The UK’s digital transformation centres on secure digital identity solutions, enhancing public services by simplifying access, ensuring privacy, and promoting inclusivity for all citizens in essential areas including healthcare and education.

Content automation expert John Bates sees hugely responsive content as being within our reach. But what needs to happen to get us over the line?

AI and simulation are revolutionising design optimisation across industries. From chip design to aerospace and automotive, this synergy accelerates innovation, enhances accuracy, and drives efficiency.

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.