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Premium Research Feb 2026
... benchmark and guide your investment decisions. See adoption timelines, risk analysis, and value drivers for 40 development technologies such as AI code assistants, agentic AI, microservices, synthetic data and MCP. Gartner Insights Abstract ...

Analyst(s):   Miriam Colman
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Premium Research Mar 2026
... The AI race drives 2026 investment, with AI services (48%) leading the way for planned investments. With build initiatives averaging nearly six technologies and/or services, high-tech executives must focus on building partnerships and capabilities that reduce risks for these complex projects. Gartner ...

Analyst(s):   Kevin Lindsay   |   Arjun Boparai   |   Brayden Napoli   |   Hank Barnes
Premium Research Mar 2026
... As agentic AI grows, data and analytics leaders must implement comprehensive and granular data lineage to manage the risks of agentic AI. This will ensure compliance, boost trust, and improve explainability. Insights at a Glance Issue Context Impact Brief More Detail Gartner Recommended Reading Gartner ...

Analyst(s):   Guido De Simoni
Premium Research Apr 2026
... Fast-evolving expectations for AI learning can quickly overwhelm learning budgets. This research outlines how learning and development leaders can use employee learning personas to design and deliver relevant AI learning at scale. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading ...

Analyst(s):   Meaghan Kelly   |   Brittney Ermatinger   |   Carmen von Rohr
Research Mar 2026
... Insights Already a Gartner client? Service and support leaders face significant pressure to adopt AI and deliver ROI, but often lack a clear vision, strategy, or step-by-step roadmap for implementation. AI transformation requires multiyear planning while remaining agile to new technological developments ...

Analyst(s):   Brett Overbey
Research Nov 2025
... Research Already a Gartner client? A use-case approach to AI worked for pilots and proofs of concept. Enterprise adoption requires business outcomes that identify and qualify tangible differences for AI investments. Continued application of use cases for AI limits growth opportunities. Overview Analysis Gartner ...

Analyst(s):   Arup Roy   |   Mark McDonald   |   Adam Woodyer   |   Mark Stanyer   |   Kip Martin
Premium Research Jul 2025
... The AI landscape is constantly evolving, and a robust AI strategy allows CIOs to adapt to new technologies, align AI initiatives with business goals, and drive innovation. The Reference Guide for AI Strategy provides CIOs with resources to craft and effectively execute on AI strategy. Overview Why This ...

Analyst(s):   Aviral Vyas   |   Frances Karamouzis   |   Hung LeHong   |   Rita Sallam   |   Maheen Ahmad   |   Whit Andrews   |   Nate Suda
Premium Research Oct 2025
... Successful AI governance requires an operating model, policies, controls and enabling technologies. It is necessary to balance AI’s value with the new risks resulting from its criticality, scalability and democratization. Use Gartner’s AI governance playbook to design, implement, and adjust AI governance ...

Analyst(s):   Svetlana Sicular
Premium Research Mar 2026
... Today’s AI-driven technology ecosystem has amplified enterprise risk exposure from third parties. Learn how midsize enterprise CIOs must enhance visibility, adaptability and response to AI cyber risks by managing third-party risk as supply chain risk. Insights at a Glance Issue Context Impact Brief ...

Analyst(s):   Shivani Munjral   |   Patrick Long
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