Governance Without Guardrails: The Data Risk Holding Back Industrial AI
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Your organisation is investing in industrial AI. But without clear data ownership, quality standards aligned to operational risk, and governance built to scale, those investments are at risk. Most firms only discover this when programmes start to scale, and by then the cost of fixing it is significantly higher.
Data governance in industrial settings rarely sits with one team. IT, OT, maintenance, and operations all play a role, but without clear accountability, governance breaks down at every handoff. The boundaries between systems, teams, and sites are where most failures happen, and they're rarely visible until something goes wrong.
Verdantix has worked directly with industrial firms and technology leaders to understand where governance is working, where it isn't, and why. This webinar brings that independent, research-grounded perspective into practical focus – so you leave with a clearer picture of where you stand and what to prioritise next.
About the authors

Jatinder Devgun
Senior Analyst
Jatinder is a Senior Analyst at Verdantix, providing insights on emerging technologies and market dynamics for technology buyers and software vendors. His expertise lies in as...
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Anesah Fraser
Industry Analyst
Anesah is an Industry Analyst at Verdantix, covering industrial AI, industrial data management and digital transformation across asset-intensive sectors. Her research helps te...
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Henry Kirkman
Senior Analyst
Henry is a Senior Analyst in the AI Applied research team at Verdantix, specializing in enterprise AI platforms, agentic systems, industrial AI, document AI and graph database...
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