AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
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.
In 2026, AI becomes operational. Success will depend on unified data architectures, embedded AI agents, strong governance and skills that enable reliable, real-time intelligence.
Generative AI is reshaping developer roles, shifting the focus from technical execution to hybrid human-machine expertise and redefining how organisations identify, grow and value tech talent.
Britain faces a critical reskilling challenge. Phillip Snalune, CEO of Codio, explains why coding literacy must become a national priority this National Coding Week and beyond.
Michael Green, UK&I Managing Director at Databricks, argues that the UK’s AI transformation depends on prioritising workforce training, ensuring people gain the skills to thrive alongside new technology.
AI is reshaping entry-level jobs, challenging businesses to rethink talent pipelines. Experts argue collaboration, strategy, and investment in skills are essential to build the future workforce.
How Pearson, educator of millions, is building the cybersecurity it needs to help students succeed safely.
Leigh Feaviour’s mission to revolutionise BT’s employee and customer experience
Businesses are turning to the cloud to ensure effective disaster recovery
Logicallis CTO Toby Alcock speaks to Digital Bulletin about the main findings of its eighth Global CIO Report
AT&T’s Mike Klepper analyses how the security landscape will evolve as disruptive technologies emerge
AI workloads are transforming data centre heat management, demanding adaptive cooling strategies, hybrid liquid-air systems and intelligent thermal control across the entire facility.
In this episode, IT consultant Ben Saunders and Contino’s Sam Lloyd explore “data analytics”, “silos”, “digital disruption” and more.
This month Ben, Rom and James take an in-depth look at the antitrust inquiry into Big Tech, and exchange views on whether Silicon Valley will actually change for the better. Ben also catches up with Finastra’s Chief Innovation Officer, Shuki Licht.
AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
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.
In 2026, AI becomes operational. Success will depend on unified data architectures, embedded AI agents, strong governance and skills that enable reliable, real-time intelligence.
Generative AI is reshaping developer roles, shifting the focus from technical execution to hybrid human-machine expertise and redefining how organisations identify, grow and value tech talent.
Britain faces a critical reskilling challenge. Phillip Snalune, CEO of Codio, explains why coding literacy must become a national priority this National Coding Week and beyond.
Michael Green, UK&I Managing Director at Databricks, argues that the UK’s AI transformation depends on prioritising workforce training, ensuring people gain the skills to thrive alongside new technology.
AI is reshaping entry-level jobs, challenging businesses to rethink talent pipelines. Experts argue collaboration, strategy, and investment in skills are essential to build the future workforce.
