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Research Jun 2026
... Access Insights Already a Gartner client? AI-free will bifurcate the market into products that integrate AI and those that omit AI as the primary focus. Product leaders should pursue unexpected market opportunities with “AI-free,” focusing on high-risk use cases where trust, predictability, and human ...

Analyst(s):   Jim Hare
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Premium Research Jun 2026
... adopts GenAI, marketing analytics teams must ensure data is AI-ready, redefine analyst roles and enable AI-driven decisions. This session introduces a data-readiness framework for marketing, outlining five key milestones on the journey to advanced AI enablement. You will also learn how to evolve marketing ...

Analyst(s):   Rachel Dooley
Research May 2026
... Insights Already a Gartner client? AI agent management platforms unlock new revenue potential by creating demand to address challenges across scalability, reliability, privacy and agent sprawl. To capture agentic AI leadership, product leaders must transition from building AI agents to provide comprehensive ...

Analyst(s):   Ethan Cai   |   Christine Tenneson   |   Aakanksha Bansal   |   Alfredo Ramirez IV   |   Kiumarse Zamanian
Premium Research Jun 2026
... finance AI initiatives stall because of persistent manual workflows, opaque algorithms and low trust. Driver maps give CFOs a practical way to embed business logic in management reporting and financial planning, setting the stage for scaling finance AI. Insights at a Glance Challenges in Scaling AI Without ...

Analyst(s):   Rajat Pandey   |   Clement Christensen
Premium Research May 2026
... AI investment is accelerating faster than procurement’s ability to turn it into measurable value. This research enables chief procurement officers to clearly communicate the implications of AI to procurement and develop a human-readiness strategy to get the most value. Overview Gartner Recommended Reading ...

Analyst(s):   Andrea Greenwald   |   Charity Hooper   |   Magnus Bergfors
Research Apr 2026
... Access Insights Already a Gartner client? A record of an AI’s internal reasoning and external actions is no longer enough to secure agentic AI trust. To drive enterprise adoption and prevent business value loss, product leaders must align the agentic AI agenda to the user’s goals to mandate absolute loyalty ...

Analyst(s):   Laura Heath
Research May 2026
... Organizations struggle to extract deep, reliable insights from fragmented data sources even when using AI. Application leaders should consider deploying AI research assistants to pair conversational AI with their curated research sets to generate targeted, verifiable, and highly accurate outputs. Overview ...

Analyst(s):   Marko Sillanpaa
Research May 2026
... Access Insights Already a Gartner client? Building an AI agent without also building the ability to evaluate it is extremely high-risk. Agents drift silently as models, knowledge bases, and tools evolve, while functional tests keep passing. Software engineering leaders must build organization-specific ...

Analyst(s):   Shiva Varma
Research May 2026
... Gartner client? AI is reshaping the purpose of program and portfolio management, forcing PMOs to plan for and adopt AI-enabled strategic planning and execution processes. PPM leaders can use this guide to build a progressive AI adoption roadmap that optimizes PMO processes while reducing AI adoption risks ...

Analyst(s):   Elissa Ungerman   |   Peter Clegg   |   Daniel Stang
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