
Gartner: Navigating the future of computing
As computing evolves, organisations must prepare for three phases: edge computing, hybrid systems, and autonomous technologies, each reshaping business operations and human-technology interaction.
As computing evolves, organisations must prepare for three phases: edge computing, hybrid systems, and autonomous technologies, each reshaping business operations and human-technology interaction.
The EU AI Act introduces a comprehensive regulatory framework, classifying AI systems by risk, imposing strict compliance standards, and extending its reach globally, impacting organisations worldwide.
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.
The future of construction lies in advanced Building Information Modeling (BIM) and AI, promising to enhance productivity, safety, and environmental compliance while addressing industry challenges.
DevOps is reshaping how organisations deliver value by streamlining application delivery and fostering innovation. Automation and AI are pivotal in enhancing efficiency and collaboration.
The rise of AI-driven autonomous sourcing is revolutionising procurement, enhancing efficiency and decision-making, while ensuring human expertise remains central to the process.
Steve Elcock, neuroscientist and founder of elementsuite, runs down the global state of play in AI and says effective regulation needs a prefrontal cortex.
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.
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 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.
In the midst of AI hype, businesses must pragmatically assess and adopt solutions that deliver tangible value. Danijel Stankovic outlines a framework to identify, prioritise, and evaluate AI opportunities for meaningful impact.
Tech leaders highlight the shift in customer service during National Customer Service Week, emphasising the blend of technology and human touch for personalised experiences.
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.
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.
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.
Decentralised digital identities (DCI) promise enhanced security and user control. However, widespread adoption faces challenges, including the need for better education and clearer benefits.
Rajiv Shesh, head of HCLSoftware and Corporate Vice President of HCLTech, on the impending effects of AI on business, society, and every last one of us.
Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.
Ecommerce business market is highly dynamic and more competitive than ever. In this situation, you can function better and meet goals by using AI in the process of data feed management.
Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.
Inside the Swedish company transforming global logistics
GHD Digital is doubling down on advanced technology to radically transform its clients and industries.
Julien Codorniou tells us how Workplace from Facebook is helping companies develop a sense of community during COVID-19
By 2027, 50% of business apps will move outside centralised clouds, highlights Gartner, indicating infrastructure selection challenges.
Cybersecurity audits help businesses identify vulnerabilities, assess vendor risks, and ensure compliance. They optimise security strategies, minimise wasted resources, and strengthen defenses against evolving cyber threats.
Ash Patel, Chief Information Officer for IRI, writes for NODE
In this episode, Norfolk County Council’s Chief Technical Officer Kurt Frary digs in on ‘digital disruption’, ‘DevOps’, ‘augmented reality’ and more.
Telefónica Spain’s Javier Magdalena Pinilla talks us through the company’s bold programme of automation
As computing evolves, organisations must prepare for three phases: edge computing, hybrid systems, and autonomous technologies, each reshaping business operations and human-technology interaction.
The EU AI Act introduces a comprehensive regulatory framework, classifying AI systems by risk, imposing strict compliance standards, and extending its reach globally, impacting organisations worldwide.
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.
The future of construction lies in advanced Building Information Modeling (BIM) and AI, promising to enhance productivity, safety, and environmental compliance while addressing industry challenges.
DevOps is reshaping how organisations deliver value by streamlining application delivery and fostering innovation. Automation and AI are pivotal in enhancing efficiency and collaboration.
The rise of AI-driven autonomous sourcing is revolutionising procurement, enhancing efficiency and decision-making, while ensuring human expertise remains central to the process.
Steve Elcock, neuroscientist and founder of elementsuite, runs down the global state of play in AI and says effective regulation needs a prefrontal cortex.
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.
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 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.
In the midst of AI hype, businesses must pragmatically assess and adopt solutions that deliver tangible value. Danijel Stankovic outlines a framework to identify, prioritise, and evaluate AI opportunities for meaningful impact.
Tech leaders highlight the shift in customer service during National Customer Service Week, emphasising the blend of technology and human touch for personalised experiences.
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.
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.
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.
Decentralised digital identities (DCI) promise enhanced security and user control. However, widespread adoption faces challenges, including the need for better education and clearer benefits.
Rajiv Shesh, head of HCLSoftware and Corporate Vice President of HCLTech, on the impending effects of AI on business, society, and every last one of us.
Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.
Ecommerce business market is highly dynamic and more competitive than ever. In this situation, you can function better and meet goals by using AI in the process of data feed management.
Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.