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Enterprise AI cannot deliver trusted outcomes without strong data quality, governance, semantics and integrated platforms. The most important part of an AI strategy may not be AI at all.
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The archive
AI · 20 Jun 2026
When Oracle announced that it had been named the overall leader in ISG Research’s 2026 AI and Data Platforms Buyers Guide, my initial reaction was probably the same as many people working in the data and AI…
6 min readAI · 2 Jun 2026
IntroductionOracle Analytics Cloud now includes a preview capability that allows MCP-compatible AI clients to interact with Oracle Analytics content through the Oracle Analytics Cloud MCP Server.This is interesting…
10 min readAI · 6 May 2026
In Part 1 of this blog series, I looked at why AI agents change the analytics conversation. The important shift is not simply that AI can answer questions, but that agents can keep working towards a goal, call tools,…
4 min readAI · 3 May 2026
I recently watched Hannah Fry’s YouTube video exploring what happens when AI agents are given the ability to act in the real world. The video followed an experiment with an AI agent that could operate a computer, send…
5 min readAI · 26 Apr 2026
IntroductionIn my previous post, I looked at how agentic analytics is the natural progression of augmented analytics.If augmented analytics introduced AI assistance into the analytics experience, agentic analytics…
6 min readAI · 19 Apr 2026
IntroductionAnalytics has never stood still.Over time, different modes of analytics have emerged to meet different business needs and different levels of user maturity. First came governed analytics, where trusted…
7 min readElffar Analytics
Independent analysis of Oracle Analytics Cloud, semantic modelling, AI Data Platform, governed enterprise data and agentic AI.
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