As AI graduates from discrete use cases to embedded infrastructure, organisations face a readiness gap across four dimensions. Drawing on enterprise AI deployment patterns, a framework for assessing whether your organisation is ready for the embedding phase—and what to prioritise if you're not.
Across 33 acquisitions totaling $157 billion, 2025's AI M&A revealed a strategic shift: companies bought infrastructure to power autonomous agents, not models. From Google's $32B Wiz deal to IBM's $27.8B data stack and Salesforce's $8B governance play, 16 key acquisitions reveal who's positioned for 2026—and who's already falling behind.
With enterprises spending 30% of engineering capacity maintaining legacy systems, AWS re:Invent 2025 revealed a two-part solution: vertically integrated AI infrastructure for cost efficiency and AI agents that demolish technical debt at scale. Together, they target the actual blocker to agentic AI deployment—modernisation speed.
From Anthropic's agentic workflows to Meta's massive-context processing, 2025 saw fierce competition redefine what AI can do for developers. Here are 6 AI models that transformed coding in 2025.
From the EU's AI Act prohibitions taking effect with €35 million penalties to India's data protection rules imposing Rs 250 crore fines, 2025 marked the shift from AI policy aspiration to enforcement reality. This comprehensive overview examines 22 major legislative movements across six continents that fundamentally reshaped global AI and data governance.
AI fluency is becoming as fundamental as email once was—but technical skills alone won't differentiate talent in the human experience economy. Success depends on building workplaces that are empathetic, adaptive, and designed around people. Beyond ONE's Group Chief People Officer on why the human experience economy demands organisations build for potential over pedigree.
From Microsoft 365 Copilot's 353% ROI to Google Vertex AI's 99% cost reductions, Big Tech's enterprise AI initiatives are delivering measurable results. This guide organises initiatives across five strategic categories, helping enterprise leaders match technology to business need with proven use cases, ROI data, and partnership insights from Fortune 500 deployments.
As AI agents take on more autonomous roles in IT operations, they require the same structured onboarding as human employees. SolarWinds' Kevin Kline explains how applying five time-tested HR principles—from background checks to performance reviews—can help IT leaders onboard their "digital colleagues" effectively and responsibly.
From Switzerland's 1,000-language Apertus to India's 350+ AI models, 2025 marked a watershed in multilingual LLM development. Here’s a comprehensive overview of developers building language-diverse AI across six continents.
As AI democratises technical capabilities, the competitive moat for startups is shifting from algorithmic superiority to user experience. An early-stage VC investor explains why community, accessibility, and intuitive design now matter more than the technology itself.
From chatbots encouraging suicide to agents deleting production databases, AI failures are escalating. But blaming human operators misses the point. Here's how to build real accountability into hybrid human-AI systems.
As the market consolidates from 52+ providers to 10-15 survivors by 2027, here's the strategic framework and evaluation checklist enterprise tech leaders need to choose partners who'll survive—and deliver real value.
By 2027, more than 40% of agentic AI projects will be scrapped, and dozens of vendors will disappear through acquisition or failure. For enterprise tech leaders, the question isn't whether to adopt agentic AI—it's how to choose the partners who'll survive the coming consolidation.
Over 80% of AI projects fail because they never move from the lab to the real world. The solution isn’t better tech—it’s embedding intelligence into the core operational processes of your business.
For decades, the story of drug discovery has been one of painstaking, manual work—a scientist in a lab coat, screening thousands of compounds—a process...
Your AI investment from last year could be this year's biggest liability. Here’s how to identify and retire 'Zombie AI' before it drains your budget and damages trust.
