... Access Insights Already a Gartner client? Heads of supply chain planning must understand cross-industry AI agent applications to build a foundation for broader agentic AI. This research outlines common use cases to drive decision automation, resolve planning exceptions and construct a roadmap to autonomous ...
Analyst(s): Buse Aras | Joe Graham | Jan Snoeckx | Cristina Carvallo
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... Deploying AI agents at scale across the enterprise demands more than deploying and enabling technology adoption. Emerging roles will need to be created both within IT and beyond to support these technologies. Use this research as a starter list of 13 roles to be created on your path to AI maturity. ...
Analyst(s): Meghna Joshi | Sneha Ayyar | Helen Poitevin
... Gartner client? As AI-driven interactions handle more customer service requests, leaders need objective ways to determine whether automation performs as effectively as human-assisted service without degrading the customer experience. This research shows how to extend QA scorecards to AI-driven interactions ...
Analyst(s): Ian Elliott | Jonathan Schmidt | Brett Overbey
... semiconductors is critical to AI innovation. However, as that process becomes ever more complex, costs are soaring and traditional “Moore’s Law” economics no longer hold. Product leaders must adjust their strategies to reflect higher chip costs and stay relevant in the AI race. Overview Strategic Planning ...
Analyst(s): Menglin Cao | Bob Johnson | Sridhar Srinivasan
... Insights Already a Gartner client? AI upskilling efforts often fail to drive meaningful workforce AI adoption, reducing the impact of AI investments. To ensure employees integrate AI in their workflows, CHROs and their teams can learn how Dow Jones democratizes AI learning programs and tailors them to ...
... 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 ...
... Physical AI changes manufacturing risk by connecting AI models to assets that move, make and modify physical products. To govern physical AI safely, CIOs must adopt a three-tier architecture to translate intelligence into validated actions that remain constrained by operational controls, safety systems ...
... are investing heavily in agentic AI while overlooking the operational foundations required for success. Agentic AI amplifies infrastructure weaknesses. Operational inaccuracies that humans previously compensated for become automation risks when consumed directly by AI systems. Insights at a Glance Strategic ...
... client? AI procurement initiatives often fail when organizations prioritize technology before establishing machine-readable, governed data foundations. CPOs should assess data readiness, remediate gaps and enforce governance before investing in new AI solutions to enable scalable, trusted AI. Insights ...