Turn I&O Into an AI Value Engine

Discover how heads of infrastructure and IT operations can accelerate AI value, scale performance and transform infrastructure into a driver of enterprise impact.

Mission Critical Priority: Reinvent I&O as an Enabler of AI Value

Download your guide to transforming I&O for AI

Discover how heads of I&O can drive scalable AI outcomes and transform infrastructure and operations into enterprise value drivers.

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AI value stalls without I&O transformation

AI has moved from exploration to execution, placing I&O at the center of enterprise value delivery. Yet many organizations struggle to align infrastructure with AI ambition and scale outcomes. Download this eBook to learn how to deliver on this priority and how Gartner supports leaders in driving measurable AI impact.

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AI value stalls without I&O transformation

Heads of I&O must embrace AI strategically, develop necessary talent and establish strong guardrails to centralize AI governance.

Gartner has identified the major actions and decisions on your journey to success on this mission-critical priority. Our tools and insights support you throughout these steps, which will typically span many quarters or even years. (Your organization may or may not need to pursue each of them in any given order.)

The steps to successfully reinvent I&O as an enabler of AI value are:

Assess IT infrastructure alignment to AI ambitions

Align infrastructure to enterprise AI strategy to enable scalable, value-driven outcomes.

Diagnose IT operations AI maturity and bottlenecks

Identify maturity gaps and remove constraints to accelerate automation ROI and performance.

Enable AI-ready data management and governance

Strengthen data quality and governance to ensure reliable, scalable AI execution.

Evolve risk frameworks for AI deployment

Modernize risk controls to support faster, compliant AI deployment at scale.

Establish an AI-first culture and operating model

Align incentives and policies to drive AI adoption, innovation and measurable outcomes.

Build I&O AI skills and talent strategy

Develop capabilities to support AI execution and sustain long-term performance.

Design a hybrid infrastructure for AI performance

Architect infrastructure to optimize AI scalability, security and compliance.

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