Gartner: Why generative AI projects fail and how to turn the tide
GenAI projects often fail due to poor data, unclear value, or unrealistic expectations. Success demands strategic alignment, robust data readiness, and cross-functional collaboration.
Future
Smarter AI agents start with better-connected data
Jesús Barrasa of Neo4j explains how Agentic AI, powered by connected data and graph technology, enables smarter, autonomous decisions with greater trust, accuracy, and insight.
AI regulation is falling behind, but what risks does this create?
Global AI innovation is outpacing regulation, exposing critical risks like data poisoning and supply chain vulnerabilities. Businesses must act now to secure their AI ecosystems.
Bringing yet-to-launch products to life through digital storytelling
Simon Levitt, Global Creative Technology Director at Imagination, explores how digital storytelling transforms yet-to-launch products into immersive brand experiences, building anticipation and driving pre-orders before launch.
Why AI agent systems are the future of UK enterprise AI
Courtney Bennett, Director at Databricks, explores how AI agent systems are transforming UK enterprise AI, offering precision, trust, and tailored solutions for businesses’ unique challenges.
Automation vs innovation: The truth about AI-powered coding
Dr. Ben Goertzel examines the strengths and limitations of LLMs in software development, discussing their role in creative coding and AGI research.
Real-time data, AI, and the road to autonomous systems
Evan Kaplan, CEO of InfluxData, explores how real-time, high-resolution time series data fuels AI-driven autonomy, enabling industries to optimise operations, predict outcomes, and automate decisions.
The role of developers in driving the next generation of AI
Developers are no longer just builders – they’re the driving force behind GenAI’s evolution. Their creativity and expertise will shape the next generation of AI-driven innovation.
Technology outlook: Energy and natural resources
A panel of experts discuss the technology trends set to occupy CIOs in primary industries, including mining and energy generation.
AI adoption beyond the hype: realising true ROI and business transformation
In 2025, CIOs must drive AI adoption and deliver ROI. Julian Mulhare, Managing Director EMEA at Searce, discusses the factors that matter.
Stealing our jobs and launching supercharged cyber attacks: Just how worried should we be about AI?
Geoff Barlow, Product and Strategy Director at Node4 explores AI’s impact on jobs and cybersecurity, addressing concerns while highlighting the potential for new opportunities and the need for proactive planning and training.
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.
Opening the door to truly intelligent content automation
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?
A perfect match: How AI and simulation can unlock design optimisation
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.
Avoiding the AI trap
Mike Ettling, CEO of Unit4 discusses the balance between AI innovation and potential overreach in ERP systems.
When gen AI and marketing collide: triumph or catastrophe?
John Sullivan, IBM iX EMEA Managing Partner explores how generative AI can revolutionise marketing while safeguarding brand trust and reputation.
Top Trends in AI for 2025
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.
The future is digital… get with the program!
To stay competitive, businesses must embrace digital transformation by evolving products, adopting future technologies, and fostering innovation for long-term sustainability and growth.
AI has huge promise but be sure to set expectation levels
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.
Adapting to the age of AI
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.
Gartner: Key generative AI trends disrupting technology markets
Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.
Gartner: GenAI to boost effectiveness of D&A governance programs
Gartner highlights GenAI’s revolutionary impact on D&A governance, enhancing automated decision-making and improving non-technical user engagement in governance processes.
Get real. AI has no ‘easy button’
Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.
AI is in trouble with the law
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.
The seller of the future, powered by data, analytics and AI
After 40 years in the technology business, CDW’s sales teams are on the cutting edge of data, analytics and AI.
Virtusa: Transforming the media industry
For the media industry, the opportunity of unprecedented demand meets the challenge of vastly increased complexity. Virtusa and its partner AWS are making the difference.
Playing IT safe
Avinash Prasad from Tata Communications discusses the strategies companies can use to share information securely
ROM2: Operating Intelligent Automation
Fifteen years after SS&C Blue Prism introduced its pioneering Robotic Operating Model (ROM) for RPA, an overhauled model for the age of AI is here.
The global AI race: Balancing innovation, regulation and the battle for talent
Steve Elcock, neuroscientist and founder of elementsuite, runs down the global state of play in AI and says effective regulation needs a prefrontal cortex.
How cloud migration drives ROI
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.
Fragmented Reality: Lee James
In this episode, Rackspace’s EMEA CTO Lee James discusses ‘future of work’, ‘augmented reality’, ‘agile’ and more.
NODE Podcast: Episode 14
This month, Ben, Rom and James discuss Sundar Pichai’s red-faced moment while on a call with Thierry Breton, along with the main themes of Europe v Big Tech. The trio also review our Lebara case study, while Ben interviews Anna Chung, a cyber threat research analyst.
Future
Gartner: Why generative AI projects fail and how to turn the tide
GenAI projects often fail due to poor data, unclear value, or unrealistic expectations. Success demands strategic alignment, robust data readiness, and cross-functional collaboration.
Smarter AI agents start with better-connected data
Jesús Barrasa of Neo4j explains how Agentic AI, powered by connected data and graph technology, enables smarter, autonomous decisions with greater trust, accuracy, and insight.
AI regulation is falling behind, but what risks does this create?
Global AI innovation is outpacing regulation, exposing critical risks like data poisoning and supply chain vulnerabilities. Businesses must act now to secure their AI ecosystems.
Bringing yet-to-launch products to life through digital storytelling
Simon Levitt, Global Creative Technology Director at Imagination, explores how digital storytelling transforms yet-to-launch products into immersive brand experiences, building anticipation and driving pre-orders before launch.
Why AI agent systems are the future of UK enterprise AI
Courtney Bennett, Director at Databricks, explores how AI agent systems are transforming UK enterprise AI, offering precision, trust, and tailored solutions for businesses’ unique challenges.
Automation vs innovation: The truth about AI-powered coding
Dr. Ben Goertzel examines the strengths and limitations of LLMs in software development, discussing their role in creative coding and AGI research.
Real-time data, AI, and the road to autonomous systems
Evan Kaplan, CEO of InfluxData, explores how real-time, high-resolution time series data fuels AI-driven autonomy, enabling industries to optimise operations, predict outcomes, and automate decisions.
The role of developers in driving the next generation of AI
Developers are no longer just builders – they’re the driving force behind GenAI’s evolution. Their creativity and expertise will shape the next generation of AI-driven innovation.
Technology outlook: Energy and natural resources
A panel of experts discuss the technology trends set to occupy CIOs in primary industries, including mining and energy generation.
AI adoption beyond the hype: realising true ROI and business transformation
In 2025, CIOs must drive AI adoption and deliver ROI. Julian Mulhare, Managing Director EMEA at Searce, discusses the factors that matter.
Stealing our jobs and launching supercharged cyber attacks: Just how worried should we be about AI?
Geoff Barlow, Product and Strategy Director at Node4 explores AI’s impact on jobs and cybersecurity, addressing concerns while highlighting the potential for new opportunities and the need for proactive planning and training.
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.
Opening the door to truly intelligent content automation
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?
A perfect match: How AI and simulation can unlock design optimisation
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.
Avoiding the AI trap
Mike Ettling, CEO of Unit4 discusses the balance between AI innovation and potential overreach in ERP systems.
When gen AI and marketing collide: triumph or catastrophe?
John Sullivan, IBM iX EMEA Managing Partner explores how generative AI can revolutionise marketing while safeguarding brand trust and reputation.
Top Trends in AI for 2025
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.
The future is digital… get with the program!
To stay competitive, businesses must embrace digital transformation by evolving products, adopting future technologies, and fostering innovation for long-term sustainability and growth.
AI has huge promise but be sure to set expectation levels
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.
Adapting to the age of AI
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.
Gartner: Key generative AI trends disrupting technology markets
Generative AI is revolutionising industries, driving exponential growth in software, services, and semiconductor markets, with widespread adoption expected by 2027.
Gartner: GenAI to boost effectiveness of D&A governance programs
Gartner highlights GenAI’s revolutionary impact on D&A governance, enhancing automated decision-making and improving non-technical user engagement in governance processes.
Get real. AI has no ‘easy button’
Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.
AI is in trouble with the law
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.