Ironically in the age of AI the value of data increases even more than the big data era. Effective data governance…
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Data and AI
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How to Prevent Fabric Cost Spikes and Optimise TCO
As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one….
Monitoring and Managing Fabric Capacity with the Metrics App
Introduction Managing capacity in Microsoft Fabric goes beyond provisioning the right SKU — it’s about understanding how that capacity behaves under…
Introduction to Fabric Capacity Management
As Microsoft Fabric matures into a production-grade analytics platform, the concept of capacity becomes central to how organizations plan, operate,…
AI-Ready Data Governance in Microsoft Fabric with Purview
AI succeeds or fails on the trustworthiness of its data. In Microsoft Fabric, governance isn’t a layer added at the…
Fabric Mirroring: The Fine Print That Derails Pilots
The promise of zero-ETL is tantalizing: connect your live systems to Microsoft Fabric’s OneLake, and downstream analytics and models just…
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The Data Value Gap: Why Only 32% of Companies Realise Tangible Benefits from Data
Data is often hailed as the new oil, the lifeblood of modern enterprises, and the key to unlocking competitive advantage. Yet, despite businesses collecting more data than ever before, only 32% of organisations report realising tangible and measurable value from it, according to an Accenture study. This statistic reveals a troubling paradox: companies are sitting…
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Automatically Migrating Power BI Premium Capacities to Microsoft Fabric
In early 2024, Microsoft announced the consolidation of purchase options and the retirement of Power BI Premium per capacity SKUs (P-SKUs).Starting February 1, 2025, customers with expiring Enterprise Agreements (EA) or Microsoft Cloud Agreements will no longer be able to add or purchase Power BI Premium capacities through their agreements. As a result, organizations currently…
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How to use AI in Customer Support for Retail
AI is transforming the processes across retail from logistics to Customer Experience. There are plenty of articles covering all these various use cases, an admirable task but I feel there is a shortage of actual discussion around actual actionable strategy for decision makers that want to integrate AI into retail. Today we will do a…
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Data Medallion Architecture with Fabric
Introduction As organizations transition into more data-centric operations, they face growing complexity around integrating, governing, and extracting insights from vast data sets. One proven blueprint for tackling this complexity is data medallion architecture, which organizes data into Bronze, Silver, and Gold layers (often called “medallions”). Now, with the introduction of Microsoft Fabric, enterprises can implement…
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Training AI: A Comprehensive Guide to RAG Implementations
Introduction Imagine asking a question and getting an answer that feels like it came from an expert who just did their homework—scouring the latest research, diving into relevant documents, and then crafting the perfect response. That’s the power of Retrieval-Augmented Generation (RAG). At its core, RAG combines the best of two worlds: the creativity and…
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Transforming Healthcare with AI in 2025
Key Takeaways from IDC’s 2024 AI Opportunity Study The healthcare sector is undergoing a seismic transformation, with AI emerging as a linchpin for progress. According to the IDC 2024 AI Opportunity Study, AI adoption in healthcare is not just accelerating—it’s reshaping how organizations deliver care, manage operations, and innovate. This article explores the critical trends…
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The Future of Intelligent Automation: Lessons from IDC’s 2024 AI Trends
Intelligent automation is emerging as a cornerstone of digital transformation across industries, and the IDC 2024 AI Opportunity Study highlights its expanding role in driving efficiency, scalability, and innovation. Organizations are increasingly integrating AI and automation technologies to streamline processes, reduce operational bottlenecks, and improve customer experiences. 1. Automation Beyond Routine Tasks Modern intelligent automation…
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UX: The missing ingredient to AI Adoption
In the race to integrate AI into businesses, many leaders focus on state-of-the-art language models, advanced prompt engineering, and fine-tuned Retrieval-Augmented Generation (RAG) systems. While these are undeniably crucial elements, there’s a factor often overlooked—User Experience (UX) Design. The most powerful AI tool will fail to deliver impact if users don’t integrate it into their…
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Training AI with Prompt Engineering
Generative AI has become an indispensable tool for businesses, but unlocking its full potential relies on a key skill: Prompt Engineering. In this article, we’ll explore what it is, why it’s essential, the techniques you need to know, and the tools that can make you a pro. Defining Prompt Engineering At its core, Prompt Engineering…
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