
Aligning AI adoption with business objectives: A path to success
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.
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.
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.
Anthony Scriffignano is a world-renowned data scientist and AI expert. Is he excited about AI, or worried?
How Salling Group successfully built a grocery home delivery service at turbo-speed during COVID-19.
How Pearson, educator of millions, is building the cybersecurity it needs to help students succeed safely.
Cloud security is more advanced than ever, says McAfee’s Sekhar Sarukkai
Industry experts reflect the ever-evolving nature of cyber threats and our responsibilities in the battle against hackers.
A panel of experts discuss the technology trends set to occupy CIOs in primary industries, including mining and energy generation.
AI’s rapid growth widens the digital skills gap, urging leaders to prioritise tech and AI literacy through upskilling.
In this episode, VMware’s Duncan Epping delves into ‘silos’, ‘data analytics’, ‘augmented reality’ and more.
Bain & Company is helping organisations plan for 2030. Ted Shelton, Expert Partner, Automation and Digital Innovation, talks us through why executives need to embrace automation or risk their business getting left behind.
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.
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.
Anthony Scriffignano is a world-renowned data scientist and AI expert. Is he excited about AI, or worried?