What if every employee had an AI co-worker?
Imagine AI agents as teammates, not tools – amplifying collaboration, aligning goals, surfacing knowledge, and transforming teamwork into something smarter, faster, and more human-focused.
AI
Transforming IT operations with AIOps
AIOps can reduce IT chaos and boost ROI. Real-world examples and expert insight from Riverbed’s Charbel Khneisser on the NODE Podcast.
How enterprises can supercharge their AIOps
Discover how enterprises can maximise AIOps ROI by reducing complexity, consolidating tools, and embracing scalable strategies.
Embracing innovation without compromising hybrid cloud security
AI demands speed and innovation, but without hybrid cloud visibility and security, risks escalate. Discover why deep observability is key to secure transformation.
Rebalancing the risk reward equation: technology identified as key to international progress
Technology is evolving rapidly, offering both challenges and solutions. Business leaders now view innovation as essential for progress, unity, and tackling global issues responsibly.
Building resilient supply chains to withstand unforeseen disruptions
Build supply chain resilience by integrating AI, automation, and agile tech to withstand disruptions, improve decision-making, and enhance performance amid today’s unpredictable global landscape.
AI agents are here, but business travel still depends on human judgement
AI agents are reshaping business travel, but when disruption strikes, human judgment and empathy remain essential for delivering a reliable, stress-free traveller experien
Embracing a hybrid future
Hybrid organisations blend human talent, digital tools, and AI to drive agility, innovation, and resilience—redefining leadership, communication, and performance in the future of work.
AI and UK legal disclosure
AI is reshaping UK legal disclosure, offering efficiency gains in criminal and civil cases—yet requires careful oversight, transparency, and adherence to legal safeguards.
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.
How can AI unlock human potential in the supply chain?
AI is revolutionising supply chains by enhancing efficiency, resilience, and collaboration—empowering humans to focus on strategy while machines handle complexity, risk, and repetitive tasks.
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.
How to maximise AI project success
To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.
Reimagining Cloud Strategies: Why AI-driven multi-cloud strategies are now essential
AI-driven multi-cloud strategies are vital for modern businesses. They enhance agility, optimise costs, bolster security, and maximise AI workload efficiency, ensuring long-term competitiveness.
Examining the impact of DeepSeek: Democratisation versus data protection
DeepSeek’s open-source AI disrupts Silicon Valley’s dominance, promising efficiency but raising data privacy concerns. Explore its impact on AI democratisation, security risks, and ethical considerations.
AI spy with my little AI
AI in creative production is reshaping brand engagement. By blending AI efficiency with traditional creativity, brands can enhance authenticity, trust, and deliver personalised, impactful experiences.
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.
Scaling GenAI adoption: Moving from proof of concept to enterprise-wide deployment
John Sullivan, VP at IBM Global Business Services UKI, discusses how businesses can move beyond GenAI proof of concepts, overcoming challenges like data quality, operating models, and reuse to scale enterprise-wide adoption.
DeepShock: A wake-up call for the tech industry and a geopolitical turning point
The DeepSeek R1 model’s launch disrupted the AI industry, showcasing China’s unexpected innovation in AI despite US export restrictions, causing a $1 trillion market loss
Technology outlook: Knowledge industries
What are the forces shaping software and data-driven industries in 2025? Hint: It’s AI, says our panel of experts.
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.
Chocolate and tech: The Perfect Marriage
A digital transformation driving unprecedented growth for Poland’s most famous chocolate brand.
Automatic For The People
Nordea has used Robotic Process Automation to transform itself for its customers. Here’s how.
Deutsche Telekom, transformation and Covid-19
How Deutsche Telekom IT maintained its digital transformation momentum during a global lockdown
Top 10 trends for 2024
Gartner has announced its list of the top strategic technology trends that organisations need to explore in 2024.
Data lakes to data fabrics: What’s next in data management?
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.
Data centralisation is critical for innovation and AI
Data centralisation and automation are vital for effective AI. Without strong data foundations, companies risk underperformance, missed opportunities, and costly, error-prone decision-making.
Tech to the rescue
Green Flag’s Managing Director Dean Keeling, along with Chief Technology Officer Shakeel Butt and Chief Product Manager Jeremy Bristow, tell us how the roadside recovery provider is transforming into an “agile fintech” and why it is laser-focused on data and talent
NODE Podcast: Episode 2
This month Ben, Rom and James chew over Project JEDI’s conclusion, everything 5G in 2019 and our BT case study on intelligent automation. The team also report back from VMworld Europe, where they learned about a peculiar piece of dental technology…
AI
What if every employee had an AI co-worker?
Imagine AI agents as teammates, not tools – amplifying collaboration, aligning goals, surfacing knowledge, and transforming teamwork into something smarter, faster, and more human-focused.
Transforming IT operations with AIOps
AIOps can reduce IT chaos and boost ROI. Real-world examples and expert insight from Riverbed’s Charbel Khneisser on the NODE Podcast.
How enterprises can supercharge their AIOps
Discover how enterprises can maximise AIOps ROI by reducing complexity, consolidating tools, and embracing scalable strategies.
Embracing innovation without compromising hybrid cloud security
AI demands speed and innovation, but without hybrid cloud visibility and security, risks escalate. Discover why deep observability is key to secure transformation.
Rebalancing the risk reward equation: technology identified as key to international progress
Technology is evolving rapidly, offering both challenges and solutions. Business leaders now view innovation as essential for progress, unity, and tackling global issues responsibly.
Building resilient supply chains to withstand unforeseen disruptions
Build supply chain resilience by integrating AI, automation, and agile tech to withstand disruptions, improve decision-making, and enhance performance amid today’s unpredictable global landscape.
AI agents are here, but business travel still depends on human judgement
AI agents are reshaping business travel, but when disruption strikes, human judgment and empathy remain essential for delivering a reliable, stress-free traveller experien
Embracing a hybrid future
Hybrid organisations blend human talent, digital tools, and AI to drive agility, innovation, and resilience—redefining leadership, communication, and performance in the future of work.
AI and UK legal disclosure
AI is reshaping UK legal disclosure, offering efficiency gains in criminal and civil cases—yet requires careful oversight, transparency, and adherence to legal safeguards.
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.
How can AI unlock human potential in the supply chain?
AI is revolutionising supply chains by enhancing efficiency, resilience, and collaboration—empowering humans to focus on strategy while machines handle complexity, risk, and repetitive tasks.
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.
How to maximise AI project success
To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.
Reimagining Cloud Strategies: Why AI-driven multi-cloud strategies are now essential
AI-driven multi-cloud strategies are vital for modern businesses. They enhance agility, optimise costs, bolster security, and maximise AI workload efficiency, ensuring long-term competitiveness.
Examining the impact of DeepSeek: Democratisation versus data protection
DeepSeek’s open-source AI disrupts Silicon Valley’s dominance, promising efficiency but raising data privacy concerns. Explore its impact on AI democratisation, security risks, and ethical considerations.
AI spy with my little AI
AI in creative production is reshaping brand engagement. By blending AI efficiency with traditional creativity, brands can enhance authenticity, trust, and deliver personalised, impactful experiences.
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.
Scaling GenAI adoption: Moving from proof of concept to enterprise-wide deployment
John Sullivan, VP at IBM Global Business Services UKI, discusses how businesses can move beyond GenAI proof of concepts, overcoming challenges like data quality, operating models, and reuse to scale enterprise-wide adoption.
DeepShock: A wake-up call for the tech industry and a geopolitical turning point
The DeepSeek R1 model’s launch disrupted the AI industry, showcasing China’s unexpected innovation in AI despite US export restrictions, causing a $1 trillion market loss
Technology outlook: Knowledge industries
What are the forces shaping software and data-driven industries in 2025? Hint: It’s AI, says our panel of experts.
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.