... Access Insights Already a Gartner client? Agentic AI promises powerful automation capabilities in varied domains, driving extreme interest and substantial investments. Yet, rapid progress in agentic AI is exceeded by hype and confusion. Grasping the core innovations and their progress is crucial to realize ...
Analyst(s): Leinar Ramos | Pieter den Hamer | Erick Brethenoux | Tom Coshow | Rajesh Kandaswamy | Gary Olliffe
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... While sourcing solutions have been around for more than 30 years, advances inAI are enabling not only automation of the traditional sourcing process but also negotiations. CPOs and procurement technology leaders can use this research to understand the difference between autonomous sourcing and automated ...
... Startup vendors in this market provide low- to no-code AI agents and workflow builders that empower nontechnical users and drive targeted innovation and agility beyond what established vendors offer. CMOs can use these vendors for rapid agility, specialization and democratized access, despite a higher ...
Analyst(s): Nicole Greene | Adam Sarner | Lizzy Foo Kune
... The future of dashboards is being challenged as many organizations explore analytics experiences driven by GenAI. Analytics specialists must use this research to identify existing use cases for dashboards, as well as those better suited to alternatives like NLQ and agentic analytics. Overview Strategi ...
... Pure financial backing can no longer purchase market velocity or structural scale. The tech landscape has undergone a complete overhaul where raw compute capacity has replaced capital as the primary currency. Hyperscalers will determine market winners, eclipsing traditional venture capital as power ...
... Information Risk Management Research Board members on their use of AI-assisted capabilities for vulnerability management, approaches to deal with AI-accelerated vulnerability pressure, and planned changes to prioritization and governance in response to such pressure. Overview Summary of Results Survey Results ...
... Already a Gartner client? To meet executive expectations for AIin marketing, demand generation leaders must address team inefficiencies and collaboration challenges. Structuring teams around buyer segments and integrating key roles can maximize AI’s potential and improve productivity and performance. Insights ...