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Research Jun 2026
... Access Insights Already a Gartner client? The rise of AI necessitates that the C-suite develop executive AI literacy, a competency that is currently insufficient. CIOs and AI leaders should use the Gartner executive AI literacy blueprint to develop structured learning pathways for the C-suite to build ...

Analyst(s):   Sneha Ayyar   |   Eyad Tachwali   |   Lily Mok   |   Gladys Yeo   |   Jennifer Carter
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Research May 2026
... Access Insights Already a Gartner client? Building an AI agent without also building the ability to evaluate it is extremely high-risk. Agents drift silently as models, knowledge bases, and tools evolve, while functional tests keep passing. Software engineering leaders must build organization-specific ...

Analyst(s):   Shiva Varma
Premium Research Jul 2026
... Adopt the composable metrics framework to turn AI from a costly experiment into a business asset. By using phased measurement and robust guardrails, software engineers can avoid AI debt, focus on sustainable growth and align technical execution with strategic intent. Overview Analysis Recommendations ...

Analyst(s):   Peter Hyde
Research Jun 2026
... Access Insights Already a Gartner client? AI has transformed technical POCs into outcome-driven POVs. To drive conversions, cybersecurity product leaders must use embedded AI to demonstrate rapid “time to reliability,” deliver tailored value narratives, and link security capabilities to executive priorities ...

Analyst(s):   Grace Keyes
Premium Research Jun 2026
... Cybersecurity leaders struggle to measure AI risks (and benefits), impacting cybersecurity risk management and investment decisions. Use outcome-driven metrics to support concrete expressions of your AI risk posture that are linked to desired business outcomes. Insights at a Glance Issue Impact More ...

Analyst(s):   Jeremy D'Hoinne   |   Paul Furtado   |   Paul Proctor   |   Richard Addiscott   |   Christopher Mixter
Premium Research Jun 2026
... Rapidly realizing business value from AI and ensuring long-term transformation success is increasingly defined by people leadership capabilities rather than technical investment alone. This research defines seven capabilities essential for people leaders navigating AI-driven transformation. Insights at ...

Analyst(s):   Jonathan Tabah   |   Grace Myers   |   Swagatam Basu
Research Jul 2026
... Gartner client? Monolithic delivery models fail to scale complex agentic AI workflows. Product leaders at managed service providers should decouple operations into modular multiagent systems to de-risk and successfully deploy autonomous AI service modules. Overview Strategic Planning Assumptions Analysis ...

Analyst(s):   Khurram Shahzad   |   Pablo Arriandiaga
Research May 2026
... Access Insights Already a Gartner client? AI is massively transforming software development. Software engineering leaders must implement six foundational practices to set up their teams for AI-native engineering success and remain competitive. Insights at a Glance Strategic Planning Assumptions Impact ...

Analyst(s):   Bill Blosen   |   Akis Sklavounakis
Premium Research Jun 2026
... How will AI change integration? Five major trends are reshaping both organizations’ integration needs and how they approach it. Software engineering leaders should use these insights to prepare their organizations for the change AI will bring. Insights at a Glance Strategic Planning Assumption Issue ...

Analyst(s):   Shrey Pasricha   |   Andrew Humphreys   |   Keith Guttridge
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