Lynne Bailey, Lead Data Strategist at Databricks explores how controlled AI experimentation helps balance the C-suite’s urgency with technical teams’ need for careful, high-quality AI deployment.
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.
As AI systems become more autonomous, organisations must build teams skilled in AI safety and alignment. The future of AI depends on expertise in scaffolding, ethics, and oversight.
John Kelleher, Vice President at UiPath, emphasises the critical need for businesses to quickly adopt AI and automation to boost efficiency, productivity, and profitability.
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.
Alessandro Galimberti, Senior Director Analyst at Gartner, explores how generative AI is transforming Infrastructure and Operations, driving efficiency, agility, and competitive advantage for forward-thinking organisations.
As generative AI and LLMs have increasingly become a staple in how teams work, the demand for skills to effectively leverage these technologies has surged
AI, ML, and generative technologies are transforming supply chains by enhancing efficiency, reducing costs, and enabling autonomous decision-making for logistics companies.
AI has the potential to revolutionise cybersecurity for Critical National Infrastructure (CNI), enabling smarter threat detection, operational resilience, and faster incident response in an evolving threat landscape.
AI-powered cyberattacks are growing more sophisticated, but organisations can fight back using AI-driven zero trust security, minimising vulnerabilities and preventing lateral movement within systems.
As computing evolves, organisations must prepare for three phases: edge computing, hybrid systems, and autonomous technologies, each reshaping business operations and human-technology interaction.
The EU AI Act introduces a comprehensive regulatory framework, classifying AI systems by risk, imposing strict compliance standards, and extending its reach globally, impacting organisations worldwide.
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.
A fresh approach to automation is driving new efficiencies in ABB’s Procurement & Logistics (GBS) organisation.
Inside the ambitious transformation of Deutsche Telekom IT
Amy Webb discusses scenarios for an AI-led world
Philipp Kristian Diekhöner on the transformative effect Gen Z and millennials will have on the workplace of the future.
Insight’s Karen McLaughlin says COVID-19 has highlighted the key role of IT support workers in ensuring business resiliency
Data analytics technology can help make workplaces more inclusive, writes Workhuman’s Jesse Harriott
This month, Ben, Rom and James analyse why Microsoft made its second-biggest ever acquisition with the $19.7bn deal to buy Nuance Communications. The panel also discusses our GHD Digital case study, while Ben interviews Enterprise Bot co-founder Ravina Mutha.
In a healthtech special, Ben and Rom are joined by Roeland Pater, founder of Nori Health. They discuss Roeland’s mission to support sufferers of Crohn’s disease and colitis through technology, and analyse how healthtech is standing up to the coronavirus. Furthermore, the panel revisit our Hartmann Group case study and report back from an AI hackathon.
Lynne Bailey, Lead Data Strategist at Databricks explores how controlled AI experimentation helps balance the C-suite’s urgency with technical teams’ need for careful, high-quality AI deployment.
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.
As AI systems become more autonomous, organisations must build teams skilled in AI safety and alignment. The future of AI depends on expertise in scaffolding, ethics, and oversight.
John Kelleher, Vice President at UiPath, emphasises the critical need for businesses to quickly adopt AI and automation to boost efficiency, productivity, and profitability.
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.
Alessandro Galimberti, Senior Director Analyst at Gartner, explores how generative AI is transforming Infrastructure and Operations, driving efficiency, agility, and competitive advantage for forward-thinking organisations.
As generative AI and LLMs have increasingly become a staple in how teams work, the demand for skills to effectively leverage these technologies has surged
AI, ML, and generative technologies are transforming supply chains by enhancing efficiency, reducing costs, and enabling autonomous decision-making for logistics companies.
AI has the potential to revolutionise cybersecurity for Critical National Infrastructure (CNI), enabling smarter threat detection, operational resilience, and faster incident response in an evolving threat landscape.
AI-powered cyberattacks are growing more sophisticated, but organisations can fight back using AI-driven zero trust security, minimising vulnerabilities and preventing lateral movement within systems.
As computing evolves, organisations must prepare for three phases: edge computing, hybrid systems, and autonomous technologies, each reshaping business operations and human-technology interaction.
The EU AI Act introduces a comprehensive regulatory framework, classifying AI systems by risk, imposing strict compliance standards, and extending its reach globally, impacting organisations worldwide.
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.
