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.
Data Intelligence
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.
What will be the fate of the Data Privacy Framework in 2024?
Implemented in 2023, the EU-US Data Privacy Framework now faces a critical test in 2024 with activist Max Schrems’ challenge.
User-centric Web3: Key to successful blockchain data storage adoption
Web3’s evolution focuses on user experience, decentralization, and openness, leveraging blockchain, AI, and advanced encryption technologies.
5 Reasons Data Quality Initiatives Fail
Data quality initiatives often fail due to low-quality data acceptance, misallocated resources, stakeholder disinterest, and delays.
Transformation, Delivered
How Salling Group successfully built a grocery home delivery service at turbo-speed during COVID-19.
Building A New British Gas
How Centrica has replatformed its British Gas business to transform its service to customers.
“Take responsibility or risk a SolarWinds repeat”
Cybersecurity experts warn a SolarWinds-level hack will happen again unless executives take responsibility
LoRa: The future of IoT
Semtech’s Alistair Fulton speaks to Digital Bulletin about LoRa’s benefits for IoT networks and connected devices
Upskilling in the age of AI
AI’s rapid growth widens the digital skills gap, urging leaders to prioritise tech and AI literacy through upskilling.
Eradicating ageism in tech
Patricia Hume, CEO, Canvas GFX, argues passionately that technology is neglecting some of its most capable talent because of ageism
Fragmented Reality: Sinanudin Omerhodzic
In this episode, HARTMANN GROUP’s CIO Sinanudin Omerhodzic discusses ‘augmented reality’, ‘digital evangelist’, ‘big data’ and more.
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…
Data Intelligence
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.
What will be the fate of the Data Privacy Framework in 2024?
Implemented in 2023, the EU-US Data Privacy Framework now faces a critical test in 2024 with activist Max Schrems’ challenge.
User-centric Web3: Key to successful blockchain data storage adoption
Web3’s evolution focuses on user experience, decentralization, and openness, leveraging blockchain, AI, and advanced encryption technologies.
5 Reasons Data Quality Initiatives Fail
Data quality initiatives often fail due to low-quality data acceptance, misallocated resources, stakeholder disinterest, and delays.