The Latest in Data and AI
Category: Data Governance
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It’s Not an AI Problem: Why Australian Councils Need a Governed Data Foundation Before Copilot
Ask Copilot, or any other AI chatbot how many service requests are overdue across the municipality and you’ll have an answer inside two seconds. Formatted, split by ward, entirely plausible. Someone will put it in the board pack. The number is wrong, and Copilot is not at fault. It just doesn’t know about your organisation’s…
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Why “Governed AI” is the Only Cure for Shadow AI
A recent report from Computer Weekly revealed a staggering statistic: 77% of security professionals have witnessed employees exposing corporate data to unapproved Large Language Models (LLMs). For those of us in the trenches of digital transformation, this isn’t just a security metric—it’s a massive signal. It confirms that Shadow AI has arrived, and it is…
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Setting Up Data Governance For Your Enterprise the Right Way
Ironically in the age of AI the value of data increases even more than the big data era. Effective data governance ensures that data is understood, trusted, secure, and usable across the business. It defines how data should be managed, who is responsible for it, and how it supports both innovation and compliance. And when…
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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 end—it’s the connective tissue that binds ingestion, transformation, analytics, and model consumption into a verifiable system of record. Purview provides the policy brain; Fabric provides the execution spine. Done well, governance here is not a…