... Access Insights Already a Gartner client? AI is reshaping technology marketing, requiring new skills, mindsets and approaches. Product marketing and demand generation leaders must define an AI vision, build organizational readiness and reinvent how work gets done, or risk diminished market impact against ...
Analyst(s): Brooke Grimes | Michael Maziarka
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... Routed AI intelligence elevates model routing into a workflow decision-control layer that governs which models touch which workflows and under what policies and costs. This reshapes AI profit and loss into policy-driven workflow economics. Routine inference costs will compress, but frontier capability ...
... Access Insights Already a Gartner client? AI results become harder to predict, trust and govern when decision logic is applied independently across tools. As AI scales, these differences become embedded system behavior that gets increasingly difficult to align and change. Chief procurement officers can ...
... client? Enterprises fail to realize AI value when workforce training is not aligned to what employees do, the level of risk their decisions carry, and the judgment those decisions require. CHROs must adopt a training framework that segments talent by job and risk to drive AI, compliance, and higher productivity ...
... product value from features to intent. Product leaders must pivot from incremental development to architecting autonomous outcome engines, using agentic AI and synthetic data to monetize productivity and harness tomorrow’s revenue surge. Overview Strategic Planning Assumptions Analysis Gartner Recommended ...
... In 2Q26, the GIISST fell 8.5% into moderate shortage, driven by strong AI semiconductor demand. This trend is expected to persist through 2027 as manufacturers continue reallocating wafers for AI memory. Gartner Recommended Reading Gartner Insights Abstract ...
... Access Insights Already a Gartner client? R&D can fail to secure AI funding by focusing solely on efficiency use cases. AI presents an opportunity to accelerate the rate of invention and discovery, effectively shifting R&D economics to the front end. Heads of R&D must rebalance investments to drive product-led ...
... processes such as MLOps can be insufficient, as they optimize model deployment and often neglect business value. To accelerate ROI, leaders responsible for AI must use a three-step framework focusing on early feasibility, early value alignment and progression to scaled deployment. Insights at a Glance Impact ...