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Premium Research Dec 2025
... AI slop — unverified outputs that appear trustworthy but mislead decisions and erode customer trust — has become a defining risk for products. To compete in today’s agentic AI race, providers must deliver verifiable intelligence: AI that can prove what it knows, how it acts and why it’s right. Insights ...

Analyst(s):   Vuk Janosevic
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Research Aug 2026
... Access Insights Already a Gartner client? Most providers can cut AI costs by 50% without affecting agentic AI product quality and reach up to 90% with open-weight LLM trade-offs. The AI inference cost reduction ladder shows six optimization strategies — from tiering to open-weight models — ordered by ...

Analyst(s):   Mark Petty   |   Will Sommer
Research Feb 2017
... HDO application portfolios become bloated, expensive and irrelevant when they are misaligned with business drivers and operational requirements. Healthcare provider CIOs can re-establish relevance and balance using proven Gartner methodologies. Analysis Introduction How Application Portfolios Fall Out ...

Analyst(s):   Gregg Pessin
Research Dec 2025
... Access Insights Already a Gartner client? The evolution from AI experimentation toward enterprise-scale adoption will drive AI spending to $4.7 trillion by 2029, up from $1.8 trillion in 2025. To be successful, providers must address the need for AI readiness across infrastructure, data and human capabilities ...

Analyst(s):   Hardeep Singh   |   Adrian O'Connell   |   Kay Arnott   |   Jon Erensen   |   Arunasree Cheparthi   |   Shailendra Upadhyay   |   Peter Middleton   |   Ranjit Atwal   |   Naresh Singh   |   Amarendra .   |   Colleen Graham
Premium Research Apr 2026
... forward-deployed engineers” as a distinct, paid services offering, positioning them as a fast track for delivering AI solutions. What actually sets true FDEs apart isn’t just their role in delivery, but their impact on the product itself. Insights at a Glance Strategic Planning Assumption Issue Impact ...

Analyst(s):   Ron Burns   |   Jim Hare
Research Nov 2025
... Access Insights Already a Gartner client? The rapid adoption of AI exposes enterprises to a multitude of new risks. Misappropriation of intellectual property, deepfakes and disinformation, new disclosure requirements, and the loss of web traffic to answer engines are among the challenges that content ...

Analyst(s):   Andrew Frank   |   Dave Aron   |   Avivah Litan
Premium Research Dec 2025
... CMOs who resist integrating AI into their resource management strategy aren’t just falling behind — they’re actively sabotaging their ability to survive in a world where doing more with less is non-negotiable. Ignoring AI is a missed opportunity and a recipe for irrelevance. Insights at a Glance Issue ...

Analyst(s):   Amy Jenkins   |   Michael McCune
Premium Research Jun 2024
... Product managers must reposition their offerings to compete in the transforming industry and enterprise computing markets. Overview Strategic Planning Assumption Analysis Background and Context Gartner Recommended Reading Note 1: Generative Professional Services Gartner Research ...

Analyst(s):   Yefim Natis   |   Ed Anderson   |   Dennis Gaughan   |   Gregor Petri
Premium Research Feb 2026
... insights on emerging trends Huge investments in “sovereign compute,” data centers and AI announced at India AI Impact Summit 2026 could redefine the global compute economy and position India as a potential global powerhouse in enterprise AI. Heads of I&O in India should reassess their cloud strategy and ...

Analyst(s):   Ashish Banerjee   |   Naresh Singh   |   Shriya Mehrotra   |   Sushovan Mukhopadhyay   |   Shubhangi Vashisth
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