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Premium Research Oct 2025
... AI leaders often draw significant inspiration from what their peers are doing with AI, preferably within the same industry sector or business function but also from elsewhere. As a starting point to create successful AI portfolios, this research presents an extensive overview of Gartner’s use-case assessments ...

Analyst(s):   Pieter den Hamer   |   Alexander Linden
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Premium Research Sep 2025
... ROI from AI, organizations need integrated strategic, financial, operational, workforce and contractual metrics to impact business outcomes. CIOs and AI leaders can drive meaningful value creation by moving past narrow assessments like productivity and adopting a holistic approach to measuring AI value. ...

Analyst(s):   Rita Sallam   |   Nate Suda   |   Jorge Lopez
Premium Research Aug 2025
... Organizations must align AI initiatives with strategic business goals while also ensuring focus and balance across vendors and techniques. CIOs and AI leaders can rationalize their investments in AI with portfolio design. Overview Introduction Analysis Gartner Recommended Reading Gartner Research ...

Analyst(s):   Whit Andrews   |   Rajesh Kandaswamy   |   Daniel Stang   |   Pieter den Hamer
Premium Research Sep 2025
... AI’s transformative and vast potential challenges executive leaders to determine if they fully exploit AI for the highest benefit. AI-first is a strategic approach to commit to exploring and evaluating AI’s vast potential in key areas for investment and use. Insights at a Glance Insights at a Glance ...

Analyst(s):   Mike Rollings   |   Rajesh Kandaswamy   |   Mark McDonald
Premium Research Aug 2025
... released “America’s AI Action Plan,” 90 federal policies designed to propel the U.S. to the forefront of AI competition. Amid looser regulations and infrastructure innovation, successful product leaders will transform their tech stack and develop strategic partnerships to win the AI race. Overview Analysis ...

Analyst(s):   Elli Carlton   |   Jorge Lopez
Premium Research Jun 2025
... jumping into the latest GenAI trend, offering prebuilt AI agents and platforms to build agents, but their capabilities vary widely. This research provides key questions for AI leaders to ask vendors when assessing the capabilities, risks and value of AI agent solutions. Overview Introduction Analysis Gartner ...

Analyst(s):   Tom Coshow   |   Deepak Seth   |   Jim Hare   |   Gene Alvarez
Premium Research Sep 2025
... conditions, but using production data leads to privacy, security and compliance risks. This research helps software engineers choose the best techniques, AI or not, to generate synthetic test data. Overview Analysis Recommendations Conclusion Gartner Recommended Reading Note 1: Transformer Architecture in ...

Analyst(s):   Sushant Singhal
Research Aug 2025
... Gartner client? AI agent development frameworks are an accelerator toward the top priority among software engineering leaders: building AI capabilities into applications. It is crucial to actively monitor the advancements in these frameworks to effectively adopt and construct sophisticated AI agent systems ...

Analyst(s):   Arun Chandrasekaran   |   Jim Scheibmeir   |   Gary Olliffe   |   Tigran Egiazarov   |   Arun Batchu   |   Adrian Leow
Premium Research Aug 2025
... frameworks, examples and technologies to help organizations build and scale AI governance. It addresses top themes like formalizing AI governance, managing risks and meeting new AI agent challenges, with actionable steps for responsible AI oversight. Overview Strategic Planning Assumptions Why This Matters ...

Analyst(s):   Maheen Ahmad   |   Remi Gulzar   |   Aviral Vyas   |   Svetlana Sicular   |   Mike Rollings   |   Avivah Litan   |   Jessica Harrison   |   Lopa Sinha
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