Author name: Joe Green

Copilot, industry insights, Physical AI, pilot programmes, staggered deployments, TechEx Events

Enterprise AI roadblocks and roadmaps, security and physical AI: Day two at TechEx

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Day two of TechEx North America has been more of a deeper, critical examination of AI in the enterprise, but with a optimistic bent. The AI and Big Data programme opened with reference to what was termed the “AI graveyard” – that is, AI projects that seem to perform well in pilot, but don’t seem […]

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cybersecurity, data centres and AI, Digital Transformation, edge-ai, techex, TechEx Events

AI is a matter of power, infrastructure and security: TechEx North America

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Although visitors to an event like TechEx North America will always want to see the cutting edge front and centre stage, the nuance and detail brought to the show by the speakers and exhibitors mean that it’s sometimes the smaller considerations that need to play big – at least, in the minds of enterprise decision-makers. […]

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ai vendors, defence, Government & Public Sector AI, us policy

US government increases AI suppliers and rethinks Anthropic’s role

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The US administration has added four more AI companies to its roster of favoured suppliers, with the Pentagon signing agreements with Microsoft, Reflection AI (which has yet to release a publicly-available model), Amazon, and Nvidia that mean their products can be used on classified operations. The companies join OpenAI, xAI, and Google as companies that […]

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AI Market Trends, Automation, charging models, github-copilot, microsoft, software-development

Per-token AI charges come to GitHub Copilot

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As of 1st June 2026, GitHub Copilot will charge its users on the basis of the tokens they use, rather than a flat rate subscription model. The model that’s seeing the shutters closed on it is, or rather was, simple to understand and use. Users were given a set number of ‘Premium Requests’ according to […]

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AMI Labs, How It Works, meta, small models, Startups

The billion-dollar startup with a different idea for AI

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A billion dollars in startup funding for a company that employs 12 people is an indication that investors still have faith in AI. But the founder of the startup in question – AMI Labs’ Yann LeCun – believes that the breed of technology we currently term AI (large language models) is not the way through […]

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Agentic AI, app deployment, multimodal-ai, vibe-coding

Citizen developers now have their own Wingman

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A vibe-coding application creation company, Emergent, has released Wingman, an autonomous agent that can address and take control of the applications used to manage daily tasks. The company’s press release states: “The best technology should be accessible to everyone”, and cites the difficulty that users without a technical background have in creating software applications. It […]

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agritech, autonomous flight, drones, Physical AI

Drones get smarter for large farm holdings

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Singapore-based DroneDash Technologies and GEODNET have formed a joint venture to be called GEODASH Aerosystems, to build an agricultural spraying drone for large industrial farms. The companies say the near-production drone technology is designed to remove the need to map a field to be treated before each flight, and the need to rebuild flight plans […]

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Agentic AI, eu-ai-act, governance, Governance, Regulation & Policy, regulation

Agentic AI’s governance challenges under the EU AI Act in 2026

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AI agents hold the promise of automatically moving data between systems and triggering decisions, but in some cases, they can act without a clear record of what, when, and why they undertook their tasks. That has the potential to create a governance problem, for which IT leaders are ultimately responsible. If an organisation can’t trace […]

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adoption, Agentic AI, Data Engineering & MLOps, governance, software-development, Special Reports & Series

AI’s software development success and central management needs

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A survey carried out by OutSystems, The State of AI Development 2026 [email wall], argues that AI has moved into early production phase for many enterprises, primarily inside the IT function. The survey was based on the responses of 1,879 IT leaders, and warns that adoption of AI is in danger of running ahead of […]

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AI Market Trends, China, future plans, overseas trade, public sector

China’s Five-Year Plan details the targets for AI deployment

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China has approved its 15th Five-Year Plan [PDF] setting out the country’s economic, education, social, and industrial priorities through to 2030. As might be expected, there is a significant number of references to AI, with the technology mentioned in several contexts. AI is grouped alongside quantum computing, biotechnology, and energy as paths that are to […]

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