Cloud Perspective

MCP, RAG and the Trusted Data Problem

For the past few years, much of the AI debate has focused on model capability. In enterprise settings, however, results increasingly depend on the system around the model. What information the model can access, how that information is retrieved, and whether it can be trusted has become vital. Technologies such as the Model Context Protocol (MCP) make organisational information more accessible to AI models, but they also make weaknesses in that data harder to ignore and more consequential. In simple terms, MCP is an open protocol that gives AI applications a consistent way to connect to external tools and data

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Digital Product Passports Will Change Environmental Reporting Forever

Data Strategy / By Dan Owen

Digital Product Passports aren’t really about passports… they’re about trusted supply chain data. Much of the conversation around Digital Product Passports (DPPs) has focused on compliance with the EU Ecodesign for Sustainable Products Regulation. But that’s only the starting point. The real challenge isn’t generating a QR code or publishing a digital passport. It’s creating the trusted supply chain data that gives the passport meaning. To answer even the simplest DPP questions, organisations need to know: 🔹 Where did every component originate?🔹 Which supplier provided it?🔹 Which manufacturing batch was it part of?🔹 What materials and recycled content does it

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Retail Technology Show: Data Is Back in the Spotlight

Industry Insights / By Ellen Guichard

Last week I attended the Retail Technology Show, and it was clear from the moment I walked into the event that the industry is at a turning point. The conversations weren’t just about what’s possible with AI — they were about what’s practical, what’s working, and what retailers need to get right before any of it delivers real value. AI Hype vs Retail Reality One theme cut through almost every talk I sat in on: AI, and more importantly, how businesses are actually introducing it in a meaningful way. What stood out to me wasn’t just the excitement around AI

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The MDM Journey: Why Governance and Data Quality Are Crucial to MDM Success

Data Strategy / By Jewel Sebastian

Master Data Management (MDM) is often positioned as a technology solution – a platform, a system, an architecture. But in reality, a successful MDM implementation is far more than that. It is a business transformation initiative that depends heavily on strong data governance and high data quality. Across multiple customer engagements – including a recent programme with a global connectivity provider operating across dozens of countries – I’ve seen a consistent theme: when MDM struggles, it’s rarely because of the technology. It’s because governance and data quality weren’t established early enough – or clearly enough. In this customer engagement, the

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