... model FAQs How quickly should HR implement AI-driven operating model changes? Start planning your AI transformation roadmap immediately, even as some AI technologies (especially AI agents) continue maturing. With 82% of HR leaders planning to deploy agentic AI within 12 months, the competitive landscape ...
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... In a market that glorifies companies that deploy “AI agents” and “agentic AI,” the terms are now overused. But what is this technology, really? This research explains what AI agents and agentic AI are, what differentiates them from other technologies, and how they may impact the future of service and ...
... Gartner client? As organizations scale AI and agentic AI investments, financial management practices must mature. Heads of enterprise architecture should use this research to control their enterprise’s AI costs, reduce value drift, and optimize their organization’s AI ROI through aligned reference architecture ...
... AI enters organizations in two ways: as a defined initiative or as an embedded capability. AI-ready data reflects initiative-driven use cases, while data teams increasingly use AI directly in their daily work. This distinction matters because data teams are often trying to apply AI-ready data guidance ...
... Access Insights Already a Gartner client? Expansion of AI adoption is creating urgent demands for AI-ready data. AI-ready data is defined in the context of the AI use case and technique, necessitating the evolution of data management practices. D&A leaders must continuously prove data readiness and adapt ...
Analyst(s): Ehtisham Zaidi | Svetlana Sicular | Roxane Edjlali | Mark Beyer
... One of the promises of artificial intelligence is its potential to replace customer service employees. However, our data shows that most customer service and support leaders investing in AI are not cutting headcount as a result. Gartner Research ...
... AI accelerator scarcity is fragmenting by platform, workload and buyer type. Vendors must package contracted capacity, workload outcomes and life cycle economics before prior-generation fleets cascade into lower-value use cases. Insights at a Glance Strategic Planning Assumption Issue Impact Implications ...
... The AI model race continues to accelerate as the frontier model providers are increasing their release velocity and converging in their innovation strategy. AI leaders should ride this innovation curve while building a robust strategy for future-proofing their AI investments. Insights at a Glance Issue ...