Deepfake fraud is reshaping cyber risk. Organisations must protect decision-making processes, not just systems, as AI-enabled impersonation attacks rapidly increase in scale and sophistication.
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.
AI is transforming contact centre operations to be more efficient, cost effective, agile, and – most importantly – human. Meet Ajmal Mahmood and Ahmad Nizami of Omningage.
Biometrics face growing risk in the AI era as deepfakes rise, pushing organisations towards zero-knowledge architectures to protect identities and eliminate centralised data vulnerabilities critical.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
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.
How Centrica has replatformed its British Gas business to transform its service to customers.
After 40 years in the technology business, CDW’s sales teams are on the cutting edge of data, analytics and AI.
IPsoft’s Jeff Heenan-Jalil predicts a big year for AI in 2019
What can neurodivergent people bring to the industry? Sarah Francis, Senior Product Manager at YouGov shares her experience
EnterpriseDB’s Jan Karremans believes a hybrid approach to cloud-based database environments is the future
Neil Gladstone of Sopra Steria explores how shifting from Proof of Concept to Proof of Value helps organisations ensure AI delivers measurable business impact and long-term value.
This month Ben, Rom and James debate NVIDIA’s proposed $40 billion acquisition of Arm and discuss our case study with Deutsche Telekom. Ben also speaks with Ainsley Braun, director for Synopsys and member of the Silicon Valley Leadership Group.
The Digital Bulletin Podcast series designed to bust the buzzwords that dominate the business technology world. In this episode, Cognizant’s Luis Huerta delves deep into the likes of ‘blockchain’, ‘digital disruption’ and ‘chatbot’.
Deepfake fraud is reshaping cyber risk. Organisations must protect decision-making processes, not just systems, as AI-enabled impersonation attacks rapidly increase in scale and sophistication.
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.
AI is transforming contact centre operations to be more efficient, cost effective, agile, and – most importantly – human. Meet Ajmal Mahmood and Ahmad Nizami of Omningage.
Biometrics face growing risk in the AI era as deepfakes rise, pushing organisations towards zero-knowledge architectures to protect identities and eliminate centralised data vulnerabilities critical.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
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.
