Nimble Learn @nimblelearn
Experts in delivering analytics and AI solutions built with Microsoft Power BI, Fabric, and Azure. Posts about analytics and AI. Creators of @opendatablend. nimblelearn.com London, England Joined August 2013-
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For the last 18 months, hyper-scalers have been building #DataCentres. But there’s a growing gap between the AI capacity companies want on paper and what infrastructure can realistically support. Read on for more: forbes.com/sites/tomcough…
Exciting updates in the May 2026 #PowerBI Feature Summary! 🚀 This month’s release introduces major enhancements across Copilot, #AI, reporting, and data modelling, helping users move faster from insights to action. Find out more: community.fabric.microsoft.com/t5/Power-BI-Up…
Agentic workloads are quietly reshaping what “cloud reliability” even means. When #Databases are being created 4x faster by agents than humans, the control plane stops being “management” and starts behaving like the #Data plane. Find out more: databricks.com/blog/how-lakeb…
Most analytics failures don’t come from bad dashboards, but from polished assumptions that go unchallenged. A neat correlation becomes strategy, and a filtered #DataSet quietly becomes “truth.” Read on for more: dataversity.net/articles/the-d… #AnalyticsFailures
#AIAgents don’t usually fail loudly, they just quietly forget everything that made them useful. Without a deliberate storage and recovery layer, you’re not building #IntelligentSystems, you’re building temporary ones with excellent PR. Read on for more: cio.com/article/417491…
Security in modern #Data platforms is evolving, and #MicrosoftFabric is taking a big step forward with resource instance rules for OneLake. It simplifies secure service-to-service connectivity. Find out more: blog.fabric.microsoft.com/en-us/blog/res…
Virtua Health is showing how #AI can move from concept to real clinical impact by using #Copilot as the primary interface to data & insights. Most importantly, this shift is reducing cognitive load on clinicians: microsoft.com/en/customers/s…
At #Microsoft, a unified #DataStrategy is being powered by a cross-functional Data Council showing how governance is becoming central to AI success. Built on a data mesh approach, the strategy balances domain ownership with strong governance: microsoft.com/insidetrack/bl…
#FabCon and SQLCon 2026 marked a major milestone as #MicrosoftFabric and SQL communities came together for a unified data experience. Events like this show that the future of data isn’t just about technology, it’s about the people building it together: microsoft.com/en-us/microsof…
Real-time #Data pipelines just got a major upgrade with the GA release of the SQL operator in #MicrosoftFabric Eventstreams. Built-in testing, event-time processing, and multi-destination support bring production-grade confidence to streaming workloads: blog.fabric.microsoft.com/en-us/blog/sim…
Centrilogic has achieved the #DataAnalytics on #MicrosoftAzure Specialisation, reinforcing its expertise in delivering end-to-end, enterprise-grade analytics solutions. This recognition highlights the growing importance of strong data foundations: globenewswire.com/news-release/2…
As enterprises scale #AIAgents, the real challenge isn’t the model, it’s how those agents access knowledge reliably and securely. But it’s not a one-size-fits-all solution; understanding when to use it is critical for #EffectiveArchitecture: techcommunity.microsoft.com/blog/azuredevc…
For years, AI has been built on a clean separation between data & models, but that assumption is starting to break. Many failures in modern AI come from treating data as raw input and models as the sole source of intelligence. Read on for more: hpcwire.com/bigdatawire/20…
New research from #Databricks highlights better models alone won’t fix broken #Architectures. Single-turn RAG systems struggle with real-world complexity, while agentic approaches that decompose, iterate, and self-correct are proving far more effective: venturebeat.com/data/databrick…
At #GoogleCloud Next 2026, it became clear that #AIAgents are no longer add-ons; they’re becoming core operational workloads. This evolution demands stronger data semantics & real-time governance. Read on for more: gartner.com/en/articles/le…
The pace of change in #Data and AI is accelerating. As leaders like Sanjeev Mohan highlight, the future of #AI depends not just on technology, but on how well we understand evolving architectures, semantics, and security. Read on for more: dbta.com/Editorial/News…
AI won’t fix your data problems because the real issue isn’t model capability, it’s missing context. Data engineering becomes mission-critical: stitching together reliable, real-time context that AI can actually act on. Read on for more: cio.com/article/416388…
#Microsoft is accelerating the shift to the agentic web, where #AIAgents don’t just assist, they transact. By embedding it into Microsoft Copilot, the company is laying the groundwork for autonomous, cross-platform commerce. Read on for more: dataconomy.com/2026/04/22/mic…
Stop cleaning your #Data like it’s the end goal, because it isn’t. The real shift in modern #DataStrategy is using AI to identify which data actually drives decisions before investing millions in governance and pipelines. Read on for more: forbes.com/sites/johnsvio…
The April 2026 update for #PowerBI is here and it’s packed with meaningful upgrades across #AI, reporting, and modelling. Here’s what’s worth your attention 👇 powerbi.microsoft.com/en-us/blog/pow…
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