Enterprise AI is failing to scale not because of weak models, but because fragmented workflows, siloed data, disconnected systems and poor governance hold it back.
AI adoption succeeds when organisations crawl, walk and run, building governance, focused use cases and operational maturity before scaling automation across the business.
Al Williams of Commerce explores why shoppers share data when brands deliver value through personalisation, frictionless checkout, reliable fulfilment and transparent post-purchase experiences.
AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
How invisible digital infrastructure, composable architecture, and omnichannel delivery are reshaping storytelling, enabling publishers and media brands to deliver seamless audience experiences globally.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
Edge computing strengthens cloud resilience by ensuring uptime during outages, enabling hybrid infrastructure strategies that protect critical workloads, reduce disruption, and support reliable business continuity.
How Formula 1’s AI-driven operations offer a blueprint for automotive manufacturers to improve agility, streamline workflows, and scale innovation across the entire vehicle lifecycle.
AI growth is driving energy demand sharply higher. Smaller, optimised models offer a sustainable path forward, reducing costs while maintaining performance and enabling wider enterprise adoption.
A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
AI success depends on strong processes, clear outcomes and confident teams. Organisations that align people, workflows and data are far more likely to realise real AI value.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
Karolina Boremalm and her team have introduced a new DesignOps strategy to IKEA Retail (Ingka Group).
Hapag-Lloyd employs Intelligent Automation, including RPA and AI, to boost efficiency and customer service in pursuit of its goal to become number one for quality.
Andres Richter, CEO of Priority Software, on the unsung hero of enterprise software
Using neuroscience to find and develop talent
Ricky Thomas, CEO and Founder at AVORA, discusses not only how companies can better utilise their data, but why they should
Ecommerce has evolved beyond the lockdown boom. To thrive, brands must embrace AI, omnichannel strategies, and personalisation to meet rising customer expectations and build lasting loyalty.
In this episode, Innovation Group’s CTO Mike Hinton explores the topics of “digital transformation”, “DevOps”, “blockchain” and more.
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.
Enterprise AI is failing to scale not because of weak models, but because fragmented workflows, siloed data, disconnected systems and poor governance hold it back.
AI adoption succeeds when organisations crawl, walk and run, building governance, focused use cases and operational maturity before scaling automation across the business.
Al Williams of Commerce explores why shoppers share data when brands deliver value through personalisation, frictionless checkout, reliable fulfilment and transparent post-purchase experiences.
AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
How invisible digital infrastructure, composable architecture, and omnichannel delivery are reshaping storytelling, enabling publishers and media brands to deliver seamless audience experiences globally.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
Edge computing strengthens cloud resilience by ensuring uptime during outages, enabling hybrid infrastructure strategies that protect critical workloads, reduce disruption, and support reliable business continuity.
How Formula 1’s AI-driven operations offer a blueprint for automotive manufacturers to improve agility, streamline workflows, and scale innovation across the entire vehicle lifecycle.
AI growth is driving energy demand sharply higher. Smaller, optimised models offer a sustainable path forward, reducing costs while maintaining performance and enabling wider enterprise adoption.
A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
AI success depends on strong processes, clear outcomes and confident teams. Organisations that align people, workflows and data are far more likely to realise real AI value.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
