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Research Apr 2026
... Insights Already a Gartner client? Overtrusting AI can replace critical thinking and lead to serious mistakes — even disastrous consequences. CIOs and their executive partners can build and measure critical thinking skills enterprisewide with repeatable generative AI validation-focused exercises with standardized ...

Analyst(s):   Mandi Bishop
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Research May 2026
... integrated network offerings makes it the company to beat in the AI network fabric race. However, challengers can close this gap with rapidly rising Ethernet momentum and meeting infrastructure demand as it shifts from training to inference and agentic AI. Overview Analysis Gartner Recommended Reading Evolving ...

Analyst(s):   Guy Robertson   |   Naresh Singh   |   Andrew Lerner
Research Apr 2026
... Access Insights Already a Gartner client? Accenture’s AI services platform (including GenWizard and Agent Manager) propels it to the front of the AI services platform race. Competitors who build modular platforms with clear differentiation and innovation can close this gap. Overview Analysis Gartner ...

Analyst(s):   Gunjan Gupta   |   Scott Frederick   |   Matthew Brown
Premium Research Jul 2026
... Frontier AI providers are moving from single-platform accelerator procurement to multisilicon strategy. Anthropic’s Google, Broadcom and AWS commitments show how AI leaders use heterogeneous AI infrastructure to optimize token cost, capacity assurance, workload fit, and software maturity. This does not ...

Analyst(s):   Jon Erensen   |   Joseph Unsworth   |   Shrish Pant
Research Jun 2026
... front-runner in the AI security platform race due to its aggressive acquisition strategy covering agentic endpoints, AI gateways, and agent identities supported by its existing security installed base and robust distribution channels. Competitors can close the gap with streamlined, agentic AI security capabilities ...

Analyst(s):   Marissa Schmidt   |   Dennis Xu   |   Evan Zeng   |   Neil MacDonald   |   Mark Wah
Research Jul 2026
... Product leaders must differentiate and drive enterprise-scale agent utilization by prioritizing investments in learning, as well as efficient and composite AI architectures. Overview Analysis Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Radu Miclaus   |   Evan Zeng   |   Aapo Markkanen   |   Walker Black   |   Vibha Chitkara   |   Danielle Casey
Webinar On-Demand
... implementing AI. Policy goals across agencies will affect your organization’s or agency’s technology strategy. For instance, Federal AI oversight in key areas like security and consumer protection may shift. In this complimentary Gartner webinar, you will hear potential impacts of shifting AI policy across ...

Analyst(s):   George Sellner   |   Amanda Dall'Occhio   |   Moutusi Sau
Premium Research Mar 2025
... In many organizations, the GenAI implementation process is initially disorganized. Formalizing that process requires significant input from product and platform teams, including analytics specialists. This research describes a structured process for implementing built and bought GenAI solutions. Over ...

Analyst(s):   Sumit Agarwal   |   Joe Antelmi   |   Wilco van Ginkel
Research May 2026
... Access Insights Already a Gartner client? Spatial AI adopters’ systemic immaturity creates technical friction and unpredictable deployment hurdles for a majority of use cases. These challenges reflect organizational and resource constraints. To drive enterprise-scale adoption, product leaders must improve ...

Analyst(s):   Evan Brown   |   Isy Bangurah
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