GARTNER RESEARCH · COMPLIMENTARY REPORT
Oil and Gas Technology Operating Model Design to Scale AI Capabilities
A complimentary Gartner® report on applying IT archetypes to modernize, manage risk, and scale AI across oil and gas operations.
Gartner's framing here lines up almost exactly with what we call the Shadow ERP problem: most oil and gas technology operating models are a compromise. Legacy patterns sit alongside modern approaches, with nobody quite sure where the seams are.
As AI moves deeper into operational technology, those seams are exactly where risk and missed scale live. This report gives CIOs a structured way (Gartner IT Archetypes) to see the compromise clearly before deciding what to modernize first.
As AI moves deeper into operational technology, those seams are exactly where risk and missed scale live. This report gives CIOs a structured way (Gartner IT Archetypes) to see the compromise clearly before deciding what to modernize first.
What you'll learn:
• Why most oil and gas technology operating models reflect compromise between legacy and modern approaches
• How to apply Gartner IT Archetypes to your own technology operating model
• How to manage risk while modernizing legacy systems
• What it takes to scale AI capabilities across, not just within, IT
• How to apply Gartner IT Archetypes to your own technology operating model
• How to manage risk while modernizing legacy systems
• What it takes to scale AI capabilities across, not just within, IT
Get the complimentary report
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