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.
Data Intelligence
How enterprises can supercharge their AIOps
Discover how enterprises can maximise AIOps ROI by reducing complexity, consolidating tools, and embracing scalable strategies.
Gartner: Mastering the governance journey for D&A leaders
Effective data governance transforms from compliance task to strategic enabler—building trust, driving innovation, and aligning analytics with real business outcomes for long-term success.
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.
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.
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.
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.
Stop at nothing: The business case for data streaming
Picture a beach. Now: imagine every grain of sand on that beach knitting themselves together in real time. Concentrate on each of the billions upon
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.
Data chaos at the edge? Three ways to make it work for you
Peer Software CEO Jimmy Tam discusses how CIOs can manage, secure, and integrate edge data to turn chaos into actionable insights and business value.
Building for developers, SDKs and the future of IT
Karel Callens, CEO of Luzmo, discusses how the Flex SDK bridges the gap between low-code simplicity and developer flexibility, shaping the future of app development.
Why great data stories lead to better business decisions
Great data stories turn insights into action. By focusing on business priorities, speaking in financial terms, and advocating for users, analysts can drive impactful, data-driven decisions.
Harness the power of agility to tackle the cyberthreat
UK and European companies are leveraging AI-powered identity verification and fraud detection solutions to combat cyberthreats like deepfakes, ensuring data security and building digital trust.
It’s time to think beyond data democratisation
Alan Jacobson, Chief Data & Analytics Officer at Alteryx, explores how analytics democratisation – empowered by governance and data literacy can unlock the full potential of data.
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.
The future of data management: graph databases
Neo4j Chief Scientist Jim Webber explains how graph databases are the future of data management in a world of vast, complex datasets and AI.
AI plans are being undermined by data infrastructure ‘blind spots’
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.
Why data governance is the foundation of effective data mesh
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.
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.
Gartner: How leaders can improve risk culture in data and analytics teams
Amidst a perfect storm of disruptions, only a small fraction of CDAOs prioritise risk management, revealing a strategic gap with board expectations.
The role of AI in automating data feed management for e-commerce businesses
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.
Keeping it real: AI expectations from the top
Anthony Scriffignano is a world-renowned data scientist and AI expert. Is he excited about AI, or worried?
AI in housebuilding: Home wasn’t built in a day
AI’s emergence in housebuilding marks a pivotal shift, enhancing operations from customer service to data analysis. As we embrace innovation, efficiency and quality converge.
DVLA – Technology driving excellence
Technology transformation for the people
IKEA’s DesignOps Revolution
Karolina Boremalm and her team have introduced a new DesignOps strategy to IKEA Retail (Ingka Group).
Changing the game
Woven Group’s Andy Griffin talks business process outsourcing powered by technology
The changing face of GRC
MetricStream’s COO Gaurav Kapoor on the technologies driving standards in governance, risk management and compliance
Building robust data strategies for a privacy-conscious world
Fivetran’s Niamh O’Brien discusses why businesses should prioritise first-party data
Scaling without losing sight: Lessons in growth, adaptability, and culture
Vadim Vladimirskiy, CEO of Nerdio, shares lessons on scaling a business sustainably, focusing on adaptability, customer-centric innovation, and cultivating a strong company culture.
NODE Podcast: Episode 1
Debate, interviews and more on enterprise technology’s biggest topics. Ben, Rom and James chip in on Facebook’s perilous Libra project, our GIGA Data Centers case study and the emergence of the ‘Digital Workplace’ – and Rom gets ten seconds to define quantum computing.
Fragmented Reality: Duncan Epping
In this episode, VMware’s Duncan Epping delves into ‘silos’, ‘data analytics’, ‘augmented reality’ and more.
Data Intelligence
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.
Gartner: Mastering the governance journey for D&A leaders
Effective data governance transforms from compliance task to strategic enabler—building trust, driving innovation, and aligning analytics with real business outcomes for long-term success.
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.
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.
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.
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.
Stop at nothing: The business case for data streaming
Picture a beach. Now: imagine every grain of sand on that beach knitting themselves together in real time. Concentrate on each of the billions upon
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.
Data chaos at the edge? Three ways to make it work for you
Peer Software CEO Jimmy Tam discusses how CIOs can manage, secure, and integrate edge data to turn chaos into actionable insights and business value.
Building for developers, SDKs and the future of IT
Karel Callens, CEO of Luzmo, discusses how the Flex SDK bridges the gap between low-code simplicity and developer flexibility, shaping the future of app development.
Why great data stories lead to better business decisions
Great data stories turn insights into action. By focusing on business priorities, speaking in financial terms, and advocating for users, analysts can drive impactful, data-driven decisions.
Harness the power of agility to tackle the cyberthreat
UK and European companies are leveraging AI-powered identity verification and fraud detection solutions to combat cyberthreats like deepfakes, ensuring data security and building digital trust.
It’s time to think beyond data democratisation
Alan Jacobson, Chief Data & Analytics Officer at Alteryx, explores how analytics democratisation – empowered by governance and data literacy can unlock the full potential of data.
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.
The future of data management: graph databases
Neo4j Chief Scientist Jim Webber explains how graph databases are the future of data management in a world of vast, complex datasets and AI.
AI plans are being undermined by data infrastructure ‘blind spots’
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.
Why data governance is the foundation of effective data mesh
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.
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.
Gartner: How leaders can improve risk culture in data and analytics teams
Amidst a perfect storm of disruptions, only a small fraction of CDAOs prioritise risk management, revealing a strategic gap with board expectations.
The role of AI in automating data feed management for e-commerce businesses
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.
Keeping it real: AI expectations from the top
Anthony Scriffignano is a world-renowned data scientist and AI expert. Is he excited about AI, or worried?
AI in housebuilding: Home wasn’t built in a day
AI’s emergence in housebuilding marks a pivotal shift, enhancing operations from customer service to data analysis. As we embrace innovation, efficiency and quality converge.