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Premium Research Jul 2026
... “AI governance” is a widely used term but inconsistently defined, creating confusion about which products are best fit for a given need. CISOs and the leaders responsible for AI must clarify what they require from their AI governance and usage control tools to avoid wasting money on incomplete products ...

Analyst(s):   Lauren Kornutick   |   Joel Backaler   |   John Watts
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Premium Research Jun 2026
... As retailers prepare for a future of agentic AI, growth in retail AI services will shift from generic offerings to retail data foundation modernization and governance. Services product leaders must pivot by enabling agentic AI and delivering measurable outcomes where early data investment drives higher ...

Analyst(s):   Sandeep Unni   |   Hanna Karki
Article July 08 2026
... Infrastructure Enterprises Need to Support Agentic AI at Scale Unlock agentic AI’s full power by rearchitecting your infrastructure for secure, scalable autonomy. By George Spafford | July 08, 2026 What infrastructure enterprises need to support agentic AI at scale Agentic AI demands a radical shift from legacy IT ...
Premium Research May 2026
... horizontal value risks losing to vertical, contextualized AI solutions and degrades the competitiveness of product portfolios. Product leaders must focus on the most attractive verticals and differentiate with vertically packaged solutions that multiply their AI revenue opportunities 2 to 5 times. Insights at ...

Analyst(s):   Ron Burns
Research May 2026
... Physical AI will evolve to deliver increased value across more complex tasks, environments and domains, driven by advances in critical enabling technologies. Product leaders must plan for continued disruption by designing R&D roadmaps that prioritize tactical and visionary advances in physical AI task maturity ...

Analyst(s):   Ethan Cai   |   Himanshu Kumar Ojha
Research May 2026
... Access Insights Already a Gartner client? The cost of AI assistants and conversational AI agents can compound rapidly if scalability is not proactively managed and architectures rely on brute-force and purely GenAI-driven approaches. This report offers application leaders methods to optimize costs across ...

Analyst(s):   Gabriele Rigon   |   Uma Challa   |   Justin Tung   |   Arun Chandrasekaran   |   Bern Elliot
Premium Research Jul 2026
... Cloud-first AI is not economically sustainable in its present form. Change is imminent. Advances in compute power and software design enable AI to compute for free on the billions of AI-ready devices already in active use, with more coming every day, reducing cloud-first privacy, security, cost, and ...

Analyst(s):   Mark Wesker
Research Jun 2026
... Insights Already a Gartner client? Enterprise AI value scales when each additional use case is easier to launch, govern and fund than the last. Heads of I&O must standardize production AI paths for model access, context, observability, cost management and AI agent controls before local patterns harden. ...

Analyst(s):   Apurva Singh
Premium Research Apr 2026
... Organizations with high AI maturity treat AI infrastructure as a set of scalable, reusable platform capabilities. This research provides heads of I&O with three operating principles to build such a platform: qualify demand early, standardize workload patterns and scale approved AI services with effective ...

Analyst(s):   Chirag Dekate   |   Enrique Castera   |   Sushovan Mukhopadhyay
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