Blog
Enterprise data and AI insights
Practical articles on AI data accuracy, Microsoft Dataverse, governed data access, and template-based architecture. Written for IT professionals, data teams, and enterprise architects in the Microsoft ecosystem.
Things that seem obvious in hindsight
What is Dataverse and why does it matter for enterprise data?
Microsoft Dataverse is the data backbone for Power Platform, Dynamics 365, and Copilot. What it does, where it fits, and how to get data out of it.
Why AI gets enterprise data wrong
45% of enterprises cite inaccuracy as the top barrier to AI adoption. Why AI fails on structured data and what to look for in trustworthy data access.
Why your data and AI investments are not paying off
Only 19% of executives see revenue gains from AI. The problem is not the AI. It is the broken data layer underneath. The four root causes and what to fix first.
Things people keep asking us
How to give Copilot accurate access to Dataverse data
Copilot needs Dataverse data to answer business questions. The template-based approach to governed, accurate Copilot data access.
How to connect Copilot Studio agents to governed enterprise data
Copilot Studio agents need enterprise data but standard connectors lack governance and business context. Learn how template-based access solves this.
How to build governed data segments without waiting on IT
Marketing teams wait days for data segments while Excel workarounds erode trust. How template-based self-service gives business users governed access.
Things we wish more people asked
What Model Context Protocol means for enterprise data teams
MCP standardizes how AI tools access enterprise data. What it is, how it works, and what it changes for data team architecture.
Dataverse data access: connectors, APIs, and the governed alternative
Compare Dataverse data access methods: connectors, Web API, FetchXML, virtual tables, and SSIS. What each solves and where a governed layer fills the gap.
AI data governance: what enterprises need before scaling AI access
AI access to enterprise data is scaling faster than governance. The four requirements enterprises need before expanding AI access.
See these ideas in practice
Learn how dhino gives AI tools governed access to your enterprise data, from Dataverse to Copilot.