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Research Nov 2025
... a Gartner client? Executive pressure to adopt AI is mounting, in some cases, without regard for its implications. This research equips logistics leaders with key insights to help them decide among three scalable, cost-effective strategies for deploying AI agents: bolt-on solutions, embedded agents and ...

Analyst(s):   Brock Johns   |   Simon Tunstall   |   Rishabh Narang   |   Oscar Sanchez Duran
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Premium Research Sep 2026
... Many CMOs believe their organization’s agentic AI adoption is keeping pace with peers, but the benchmark has shifted from experimentation to production. CMOs must measure adoption accurately, accelerate deployment, and connect AI investments to revenue outcomes to avoid falling behind. Insights at a ...

Analyst(s):   Amy Jenkins   |   Christy Ferguson
Research Sep 2026
... Access Insights Already a Gartner client? The future of AI agents remains uncertain, but organizations can act now to prepare. This research explores emerging AI agent trends, the evolution of multiagent systems, and the foundational capabilities needed to support future enterprise adoption. Insights ...

Analyst(s):   Leinar Ramos   |   Ben Yan   |   Tom Coshow   |   Avivah Litan   |   Arun Chandrasekaran   |   Erick Brethenoux   |   Tong Zhang   |   Pieter den Hamer   |   Haritha Khandabattu   |   Gabriele Rigon   |   Anthony Mullen
Premium Research Aug 2026
... Many organizations manage AI initiatives through upfront business cases and budget approval processes predicated on predicting value upfront. High performers instead manage AI as a portfolio of opportunities, replacing investment approval gatekeeping with options-based capital discipline for results. ...

Analyst(s):   Kristen Richardson   |   Michelle Carlsen
Premium Research Aug 2026
... As organizations deploy AI note-taking and meeting assistant technology, they need clear governance, including policies, to mitigate risk. Enterprise application leaders can use this configurable template to develop a meeting recording and AI note-taking policy that suits their organization’s needs. ...

Analyst(s):   Christopher Trueman   |   Lacy Lei
Premium Research Sep 2026
... Model Hardware Standard (MHS) as a signal that enterprise AI vendors are shifting to physical operations, enabling agents to connect and safely run machinery through a universal interface, and potentially streamlining integration across physical-AI ecosystems. Analysis Gartner Recommended Reading Evolving ...

Analyst(s):   Reuben Harwood   |   Jan-Martin Lowendahl   |   Michael Shanler
Research Aug 2026
... Already a Gartner client? AI is reshaping enterprise applications, bringing new risks and mandates. This guide defines seven critical themes for application leaders, providing an urgency framework to help you prioritize investments, manage agentic risks and drive sustainable AI value through 2027. Analysis ...

Analyst(s):   Patrick Connaughton
Research Oct 2026
... Access Insights Already a Gartner client? Chinese AI model providers are expanding globally through integrated AI ecosystems and open-weight model strategies. Tech product and service leaders must consider strategic partnerships to improve cost leadership, operational autonomy, and business resilience ...

Analyst(s):   Rithvik Kumar   |   Jimmy Chuang
Research Aug 2026
... client? Low-cost, open-weight and Asia-origin models are collapsing the cost floor for enterprise AI and software. Vendors must reposition around workflow value, integrated harnesses, enterprise governance, and AI safety as model value commoditizes. Overview Strategic Planning Assumptions Introduction Market ...

Analyst(s):   Evan Zeng   |   Alastair Woolcock   |   Arun Chandrasekaran
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