Email didn’t die – and AI made it essential
Email remains essential in the AI era, providing a trusted digital record built on open standards, integrity, interoperability, resilience and long-term user control.
Future
Building an AI shopping experience around consumer needs
Andrew Norman explores how retailers can use agentic AI, structured product data, transparency and consumer choice to build trusted, effective online shopping experiences for consumers.
Why identity, not passwords, is the future of security
Alex Laurie of Ping Identity explains why passkeys and identity-first security are replacing passwords as organisations defend against AI-powered identity attacks.
Beyond compute: Why data rights will define the next phase of AI adoption
Kevin Cochrane of Vultr explores why data rights, governance and access will become critical as enterprises move AI from experimentation to large-scale deployment.
AI means everyone can code. But what happens after the prototype stage?
AI-assisted development makes prototyping effortless, but secure deployment, monitoring, maintenance and human support determine whether AI-built applications can succeed safely in production at scale today.
What is an AI Orchestrator? And how will they redefine the world of work?
Discover how AI Orchestrators coordinate intelligent agents, reshape productivity, transform workforce planning and redefine employee value as organisations redesign work around agentic AI at scale.
Beyond the hype: How industries are putting AI to work
Organisations across manufacturing, cybersecurity, finance, tax, retail and hospitality are turning AI pilots into measurable value through trusted data, governance and human judgement at scale.
Separating genuine insight from AI “slop”
Chris Ackerson of AlphaSense explores how enterprises can avoid AI slop by prioritising trusted data, domain-specific intelligence, transparency and human oversight.
Beyond the pilot phase. What it takes to scale agentic AI
Joshua Clay of Dynatrace UK&I explores how organisations can scale agentic AI securely by building trust, governance, observability, and human oversight into workflows.
How AI is reshaping cloud economics
Laurent Gil of Cast AI explains how AI workloads, GPU waste and token economics are reshaping cloud costs, making automated optimisation essential for enterprises.
The deepfake explosion: Why AI-driven fraud is a board level concern
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.
GenAI’s data reckoning: Why AI success now depends on what you feed it
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
Bridging today’s fragmented identity landscape and tomorrow’s decentralised future
Digital identity is evolving under EUDI regulation. Businesses must bridge centralised and decentralised systems while maintaining trust, security and seamless user verification across platforms.
Quantum computing is coming this decade. Whether it is ‘good’ is up to us
Quantum computing is approaching real-world impact. Its benefits and risks will depend on policy, access, and governance decisions made by industry, government, and researchers today.
The evolving risk of standard biometrics in the AI era
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.
Lessons from F1: Reimagining automotive agility
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 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.
Shadow AI is already inside your organisation – the question now is whether it’s governed
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.
From co-pilots to colleagues: The way forward for AI agents in 2026
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 success starts where people and processes meet
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.
The rise of the AI native
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
AI beyond the hype: Proactive systems, quiet integration, and focused solutions
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
Making AI work where it matters
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.
Why wait for the future, if we can just simulate it?
AI-accelerated simulation is transforming science and industry, enabling researchers to explore millions of outcomes, reduce energy use, and compute probable futures faster than ever.
IKEA’s DesignOps Revolution
Karolina Boremalm and her team have introduced a new DesignOps strategy to IKEA Retail (Ingka Group).
The power of people and technology
Inside the Swedish company transforming global logistics
Smart cities, intelligent transport
Commercial and private transport is about to move through perhaps its most transformative phase
Turning data into gold
A decade ago, a team of machine data enthusiasts embarked on a mission to empower businesses – and Sumo Logic was born
Scaling without losing sight: Lessons in growth, adaptability, and culture
Vadim Vladimirskiy, CEO of Nerdio, shares lessons on scaling a business sustainably, focusing on adaptability, customer-centric innovation, and cultivating a strong company culture.
Cybercriminals, AI and the future
SentinelOne’s Caleb Fenton on how cybercriminals might take advantage of the vulnerabilities in AI technology
Transforming Media
The media industry has altered dramatically, and fast. In a fully converged world populated by connected media devices limited in number only by individuals’ capacity to own them, the opportunity – and the threat – is enormous for media companies throughout the supply chain.
Fragmented Reality: Duncan Cousins & Henrik Nilsson
In this episode, Duncan Cousins and Henrik Nilsson from Apptio debate ‘quantum computing’, ‘digital evangelist’, ‘DevOps’ and more.
Future
Email didn’t die – and AI made it essential
Email remains essential in the AI era, providing a trusted digital record built on open standards, integrity, interoperability, resilience and long-term user control.
Building an AI shopping experience around consumer needs
Andrew Norman explores how retailers can use agentic AI, structured product data, transparency and consumer choice to build trusted, effective online shopping experiences for consumers.
Why identity, not passwords, is the future of security
Alex Laurie of Ping Identity explains why passkeys and identity-first security are replacing passwords as organisations defend against AI-powered identity attacks.
Beyond compute: Why data rights will define the next phase of AI adoption
Kevin Cochrane of Vultr explores why data rights, governance and access will become critical as enterprises move AI from experimentation to large-scale deployment.
AI means everyone can code. But what happens after the prototype stage?
AI-assisted development makes prototyping effortless, but secure deployment, monitoring, maintenance and human support determine whether AI-built applications can succeed safely in production at scale today.
What is an AI Orchestrator? And how will they redefine the world of work?
Discover how AI Orchestrators coordinate intelligent agents, reshape productivity, transform workforce planning and redefine employee value as organisations redesign work around agentic AI at scale.
Beyond the hype: How industries are putting AI to work
Organisations across manufacturing, cybersecurity, finance, tax, retail and hospitality are turning AI pilots into measurable value through trusted data, governance and human judgement at scale.
Separating genuine insight from AI “slop”
Chris Ackerson of AlphaSense explores how enterprises can avoid AI slop by prioritising trusted data, domain-specific intelligence, transparency and human oversight.
Beyond the pilot phase. What it takes to scale agentic AI
Joshua Clay of Dynatrace UK&I explores how organisations can scale agentic AI securely by building trust, governance, observability, and human oversight into workflows.
How AI is reshaping cloud economics
Laurent Gil of Cast AI explains how AI workloads, GPU waste and token economics are reshaping cloud costs, making automated optimisation essential for enterprises.
The deepfake explosion: Why AI-driven fraud is a board level concern
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.
GenAI’s data reckoning: Why AI success now depends on what you feed it
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
Bridging today’s fragmented identity landscape and tomorrow’s decentralised future
Digital identity is evolving under EUDI regulation. Businesses must bridge centralised and decentralised systems while maintaining trust, security and seamless user verification across platforms.
Quantum computing is coming this decade. Whether it is ‘good’ is up to us
Quantum computing is approaching real-world impact. Its benefits and risks will depend on policy, access, and governance decisions made by industry, government, and researchers today.
The evolving risk of standard biometrics in the AI era
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.
Lessons from F1: Reimagining automotive agility
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 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.
Shadow AI is already inside your organisation – the question now is whether it’s governed
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.
From co-pilots to colleagues: The way forward for AI agents in 2026
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 success starts where people and processes meet
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.
The rise of the AI native
As AI natives enter the workforce, organisations must rethink governance, mentoring and productivity to bridge expectation gaps and embed intelligent systems responsibly.
AI beyond the hype: Proactive systems, quiet integration, and focused solutions
Enterprise AI is moving beyond hype, shifting towards proactive systems, embedded intelligence and specialised models that deliver measurable impact, governance and real operational value.
Making AI work where it matters
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.
Why wait for the future, if we can just simulate it?
AI-accelerated simulation is transforming science and industry, enabling researchers to explore millions of outcomes, reduce energy use, and compute probable futures faster than ever.