Articles and client stories from the engineers who deliver data, AI, cloud and database transformation every day.
The UK economy grew by 0.4% in Q2 2026, with almost half of that expansion coming from information and communications. The AI boom is moving from technological enthusiasm towards economic impact, and execution now decides who benefits.
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Research from Emergn suggests large UK businesses lose an estimated £67 billion a year on transformation and AI initiatives that fail to deliver. Businesses are investing in AI faster than they are building the management discipline to make it pay.
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ONS data shows 35% of UK businesses now use at least one AI tool, yet almost three-fifths only tinker at the edges of existing operations. Breadth of adoption does not equal depth, and the gap is costing growth.
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Microsoft research shows up to 71% of UK employees admit using unapproved AI tools at work. Shadow AI is no longer an IT issue, it is a business risk affecting security, compliance, reputation and operational resilience.
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Nearly 60% of enterprise UK AI projects fail to deliver measurable business value within 18 months. The pilot worked, so why did the business not? The real problem is not the technology, it is operational readiness: strategy, data, workflow fit, governance and ownership.
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A 2025 CBI survey shows 80% of UK business leaders cite ethics as the top barrier to AI adoption. Why ethical AI is an accelerator rather than a roadblock, what human oversight delivers, and how to build trustworthy AI frameworks.
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Only 16% of UK businesses currently deploy AI while 80% have no concrete plans. A look at adoption rates by sector, the productivity gains reported by adopters, the five barriers holding businesses back and a practical roadmap for 2026.
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Over 80% of AI projects fail before reaching production, and 85% of failures cite data quality or availability. These are the five data mistakes SMBs must avoid to protect their AI investment.
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58% of telecom buyers across the UK, US and Europe plan to build AI capabilities into their products. This article explores the core AI use cases, benefits and implementation strategies helping telecom SMBs compete with larger operators.
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Moving from an AI pilot to enterprise-wide adoption feels daunting, with data silos, limited expertise and budget constraints looming large. This guide walks UK SMB leaders through six steps to scale AI pilot projects effectively in 2025.
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With 75% of business leaders viewing AI as critical to their success but only 26% of companies moving beyond proof-of-concept, this guide explores eight proven AI strategies UK businesses are leveraging to gain competitive superiority and transform their market positions.
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From cloud pricing optimisation and conversational AI to fraud detection, supply chain optimisation and intelligent document processing, here are ten AI use cases delivering measurable impact, plus how to identify the right ones for your organisation.
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29% of UK SMBs say integrating new technology with legacy systems is their top challenge. This guide covers the seven integration barriers, the benefits of getting it right and a six step roadmap for connecting AI to the systems you already run.
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With 75% of SMBs experimenting with AI, proving the investment delivers value is the real challenge. This guide covers six metrics to track, from cost savings and revenue growth to time to market and error reduction, plus a worked telecom ROI calculation.
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AI pilot projects give SMBs a safe, low-risk way to begin. This seven-step guide covers choosing high-impact use cases, engaging stakeholders, selecting scalable tools, preparing data, launching in parallel, measuring outcomes and planning to scale.
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Many C-suite leaders overlook a fundamental prerequisite for AI: a cohesive data strategy. This six-step guide covers assessing your data landscape, setting objectives, governance, preparation, integration and ongoing optimisation.
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Before investing in AI, businesses need to know whether their technical, cultural, operational and financial capabilities can support successful adoption. This nine-step guide sets out how to assess AI readiness.
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UK SMBs are adopting AI at a rapid pace, but choosing the right AI solution is not as straightforward as picking and plugging in software. This guide breaks down the step-by-step process for identifying the right AI solutions for your SMB.
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AI and cloud computing are no longer emerging trends. They are the driving forces behind modern database management, and 2025 is the tipping point for businesses to embrace them.
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