Data Culture and Data Governance are often viewed as opposites (the ‘carrot’ and the ‘stick’) but in practice they can be deeply interconnected. We welcomed some Data Governance guests to our Data Culture Club event to settle the debate.
Mark McQueen, Managing Partner, North America, joins the EDM Association Board, building on Ortecha's longstanding role in shaping data management standards.
Data Culture work is often about encouraging colleagues to learn something new or adopt different ways of working. But how can we drive engagement, curiosity and sustained participation in a way that feels meaningful rather than mandatory?
AI terminology is evolving quickly, but what do these terms actually mean. We unpack them and explain why greater AI capability places greater demands on enterprise data, knowledge, architecture and governance.
New internal-control reporting requirements are putting greater accountability on UK boards. Here is what Provision 29 means, who it affects and why credible compliance depends on trustworthy data.
The question is not which AI governance framework to choose. The question is how to combine the right frameworks, rules and controls into an operating capability that people can actually use.
As AI moves from answering questions to taking action, organisations need to prepare their people, data and knowledge for a world of connected, coordinated AI agents. Here's what we presented at CDOIQ 2026.
AI can generate dashboards in minutes, but enterprise reporting requires more than great visuals. We explore where AI fits alongside Power BI and Tableau, and how to choose the right approach for prototyping, governance and production reporting.
Data Graphs and Ortecha announce strategic partnership to help enterprises solve the AI context gap with shared semantic models, knowledge graph technology and enterprise delivery expertise.
AI agents don't fail because they can't access enough content. Your AI agents can read your documents, but that doesn't mean they understand your business. They need enterprise memory.
You've let AI into the enterprise. Now you need to prove you can control it. AI adoption is moving fast, yet shadow AI, agent sprawl and weak accountability are turning governance gaps into operational risk.
You've been doing data for years. AI will show you whether you did it well enough. AI does not know your workarounds. Hidden data, accountability and governance gaps are becoming enterprise risks.
The ultimate guide to DCAM®. Learn what DCAM is, why it matters & how to improve data management capability. Includes expert implementation tips, maturity insights and advice from Diamond DCAM Partners.
Data Graphs and Ortecha announce strategic partnership to help enterprises solve the AI context gap with shared semantic models, knowledge graph technology and enterprise delivery expertise.
Ortecha and Oxford Semantic Technologies announce strategic partnership to help enterprises build trusted, explainable AI with semantic technology and delivery expertise.
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