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Research Aug 2026
... a Gartner client? Many CCEOs have not yet updated their codes of conduct to address AI, leaving employees without clear expectations for responsible use. Reduce AI-related risk by incorporating common elements of AI guidance into your code and tailoring them to your organization’s unique context. Insights ...

Analyst(s):   Matt Cantrell
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Research Aug 2026
... supply chain strategy are moving beyond periodic network redesigns to continuous network refinement. AI can accelerate the analysis to improve decision-making speed and quality, but organizations must pair AI-enabled insights with human oversight to ensure strategic decisions remain practical and aligned ...

Analyst(s):   Vicky Forman
Research Aug 2026
... Access Insights Already a Gartner client? Siloed, CISO-only sales approaches will stall out or fail entirely under the weight of cross-functional AI risk. To win high-quality enterprise deals, security vendors must pivot from single-person messaging to multithreaded plays that address both the operational ...

Analyst(s):   Ayelet Heyman
Premium Research Aug 2026
... Many CMOs know the enterprise AI data fabric is coming but have no plan to join it. The fabric is the infrastructure. Marketing’s data mesh is how marketing takes part. Productize your customer data, set your data contracts (the gives and gets), and field agentic AI to stay in the decision loop. Insights ...

Analyst(s):   Adam Sarner
Research Aug 2026
... Access Insights Already a Gartner client? A review of the recent NVIDIA news and other financing commitments within the AI space. Essential Insight Gartner Insights Abstract ...

Analyst(s):   Kumar Dhir
Premium Research Aug 2026
... CSCOs face growing pressure to scale AI, yet most supply chains remain stuck in pilots due to poor data quality, limited organizational readiness, and integration challenges. This presentation provides a practical roadmap to govern data, prepare teams, and prioritize AI investments that scale value. Overview ...

Analyst(s):   Caleb Thomson
Premium Research Aug 2026
... Creating or replacing applications with AI capabilities is not a binary either/or choice. Before replacing legacy systems with applications built via AI code assistants and AI coding agents, heads of applications should use a consistent evaluation process based on Gartner’s seven-category evaluation ...

Analyst(s):   Tad Travis   |   Tristan Iles
Premium Research Aug 2026
... realize the full benefits of AI if they don’t make the right investments in capabilities, literacy, and upskilling. Cloud architects, alongside their leaders in I&O, must support this transformation so that the right skills, teams, and practices are in place for future success with AI. Overview Strategic Planning ...

Analyst(s):   Joe Antelmi
Research Aug 2026
... experience success with AI, data quality issues plague heads of I&O during implementation. Much of the dismay is due to weak governance at intake. Shift-left channels and inconsistent intake controls are creating unreliable records, corrupting metrics, and undermining automation and AI outcomes. Without strong ...

Analyst(s):   Joe Rogus
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