
AI must get smaller to go big in enterprise
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.

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.

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.

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.

AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.

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.

AI must deliver measurable value in daily operations. From manufacturing to retail, businesses are shifting from pilots to practical deployment, building trust and preparing for agentic AI.

AI workloads are transforming data centre heat management, demanding adaptive cooling strategies, hybrid liquid-air systems and intelligent thermal control across the entire facility.

Super Bowl advertising revealed a pivotal shift in AI branding, as companies prioritised trust, credibility and emotional resonance over product features and technical performance claims.

AI-driven order-to-cash transformation is emerging as a strategic growth engine, improving liquidity, reducing risk and enhancing customer experience across B2B and B2C organisations.

AI ambition is rising fast, but operational adoption remains limited. Organisations must bridge the gap between strategy, skills, data foundations and scalable execution.

Enterprise AI is failing at scale due to fragmented data. A unified, platform-based approach enables governed autonomy, trusted decisions, and sustainable AI-driven transformation.

AI-driven fake accounts are rising fast. Learn how robust customer verification helps organisations prevent fraud, protect data quality, and build trusted digital relationships.

Operational sovereignty is now critical as organisations face geopolitical instability, regulatory pressure and infrastructure disruption while striving to maintain resilience, compliance and control over digital operations.

The UK’s AI ambitions risk stalling without widespread education, as gaps in training across schools and businesses undermine effective adoption and long-term return on investment.

Deepfakes are becoming a serious security threat, enabling disinformation, fraud and disruption. Detecting and countering synthetic media is now essential for governments and organisations.

Unilever is bringing the fourth industrial revolution to ice cream manufacturing.

How GIGA Data Centers is delivering hyperscale performance to the colocation market

Businesses are turning to the cloud to ensure effective disaster recovery

BT Enterprise’s Phil Baulch discusses the potential of volumetric video for consumers and businesses

Smarter, sustainable supply chains powered by item-level intelligence strengthen resilience, cut costs, and reduce environmental impact while enhancing transparency, customer experience, and long-term business stability.

Insight’s Karen McLaughlin says COVID-19 has highlighted the key role of IT support workers in ensuring business resiliency

Nerdio founder and CEO Vadim Vladimirskiy on building a company and a culture devoted to making IT professionals’ lives easier.

In this episode, Spark44’s Global Head of Experience Ahmed Hasan discusses ‘big data’, ‘chatbot’, ‘digital evangelist’ and more.

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.

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.

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.

AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.

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.

AI must deliver measurable value in daily operations. From manufacturing to retail, businesses are shifting from pilots to practical deployment, building trust and preparing for agentic AI.

AI workloads are transforming data centre heat management, demanding adaptive cooling strategies, hybrid liquid-air systems and intelligent thermal control across the entire facility.

Super Bowl advertising revealed a pivotal shift in AI branding, as companies prioritised trust, credibility and emotional resonance over product features and technical performance claims.

AI-driven order-to-cash transformation is emerging as a strategic growth engine, improving liquidity, reducing risk and enhancing customer experience across B2B and B2C organisations.

AI ambition is rising fast, but operational adoption remains limited. Organisations must bridge the gap between strategy, skills, data foundations and scalable execution.

Enterprise AI is failing at scale due to fragmented data. A unified, platform-based approach enables governed autonomy, trusted decisions, and sustainable AI-driven transformation.

AI-driven fake accounts are rising fast. Learn how robust customer verification helps organisations prevent fraud, protect data quality, and build trusted digital relationships.

Operational sovereignty is now critical as organisations face geopolitical instability, regulatory pressure and infrastructure disruption while striving to maintain resilience, compliance and control over digital operations.

The UK’s AI ambitions risk stalling without widespread education, as gaps in training across schools and businesses undermine effective adoption and long-term return on investment.

Deepfakes are becoming a serious security threat, enabling disinformation, fraud and disruption. Detecting and countering synthetic media is now essential for governments and organisations.