... Government AI adoption is accelerating, but government organizations struggle to turn usage into sustained mission outcomes. Government CIOs and AI leaders can use this maturity research to gauge their organizational readiness for AI and prioritize investments to get lasting impact. Insights at a Glance ...
Analyst(s): Daniel Nieto | Eyad Tachwali | Whit Andrews
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... Talent management leaders exploring AI use in employee performance management must assess how to improve employee experience without increasing risk. Aligning performance management AI use cases with wider enterprise AI strategy leverages existing infrastructure to provide the most value for HR. Insights ...
... Hype Cycle helps CIOs and AI leaders navigate innovations affecting the discipline of AI governance, including operating model, emerging risks, policies and guardrails. It will also enable AI governance organizations to deal with the explosive adoption of generative and agentic AI. Strategic Planning Assumptions ...
... Already a Gartner client? The AI accelerator (non-GPU) market experienced strong growth in 2025, with vendor expansion rates ranging from -38% to 443%. Product leaders must focus on differentiated AI inference and custom accelerator strategies, as hyperscaler, sovereign AI, and domain-specific deployments ...
... Free inferencing on AI-capable devices makes local models “good enough” for many use cases, challenging cloud-only AI. CPOs must optimize AI architectures and pricing simultaneously to decide what stays in the cloud, what moves to devices, and how to capture value. Insights at a Glance Strategic Planning ...
Analyst(s): Ron Burns | Jim Hare | Charles Sutherland | Craig Roth
... Rapid AI adoption is accelerating skill erosion, requiring HRBPs to help managers build AI-durable careers. This guide equips HRBPs to help managers to build AI-durable careers in their teams by evaluating candidate potential, restructuring workflows and supporting lateral mobility. Insights at a Glance ...
... The “AI-native enterprise” buzzword often misguides executive strategy. CIOs should instead use a taxonomy based on “nature of business growth” and “degree of AI impact.” This framework grounds executive conversations, shifting the dialogue from speculative hype to realistic AI transformation strategies ...
Analyst(s): Daniel Sun | Owen Chen | Laura Craft | Bin Li | Greg Li
... Although 57% of B2B CMOs identify AI integration as an urgent priority, many pursue AI through technology adoption rather than organizational transformation. This research helps CMOs build an AI-driven organization capable of generating sustained business value, not just incremental productivity gains ...
... agentic AI deployments scale, economic sustainability is emerging as a critical determinant of AI success. Organizations must understand the unit economics of AI workflows by connecting costs to business outcomes and value realization. This edition of Data Intelligence Monthly explores how D&A and AI leaders ...
Analyst(s): Anurag Raj | Michael Gabbard | Lulu Wang | Ray Collins