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Research Apr 2025
... Research Already a Gartner client? AI leaders have a unique mandate to improve and transform their organizations with AI. This initiative helps AI leaders set a clear strategy and align stakeholders and business units, as well as build the long-term foundations for future AI success. Scope Analysis Topics ...

Analyst(s):   Leinar Ramos
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Research Dec 2017
... Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning Key Findings Recommendations Analysis Why Artificial Intelligence and Advanced Machine Learning Is a Top 10 Trend Where Artificial Intelligence and Advanced Machine Learning Fits in the Top 10 AI and Advanced Machine Learning ...

Analyst(s):   Tracy Tsai   |   Mike Walker
Research Oct 2024
... Already a Gartner client? Artificial intelligence applications in IT service management are tools that use AI to augment and extend ITSM workflows to provide intelligent advice and actions for I&O leaders and their IT support teams. This Magic Quadrant evaluates 10 vendors and their AI-enabled products in ...

Analyst(s):   Kumar Dhir
Premium Research Oct 2025
... AI leaders must act now to discover and manage all manifestations of AI — including embedded AI, shadow AI and AI browsing. The rapid integration of AI into browsers and web agents is introducing new risks, requiring a fundamental shift in enterprise AI risk management and governance. Gartner Research ...

Analyst(s):   Avivah Litan
Research Mar 2021
... Artificial intelligence (AI) is changing the trajectory of the retail industry. This research evaluates 23 potential use cases based on feasibility and business value to help CIOs target resources on the most beneficial use cases for their organization. About This Research Recommended by the Authors ...

Analyst(s):   Robert Hetu
Premium Research Apr 2020
... Access Insights Already a Gartner client? Artificial intelligence promises great benefits, but it also raises organizational risks. To successfully operationalize AI in production, application leaders must expand their risk management practices to mitigate data manipulation security risks, lack of explainability ...

Analyst(s):   Farhan Choudhary   |   Alexander Linden   |   Saniye Alaybeyi
Premium Research Jan 2024
... AI and generative AI are disrupting technology markets at an accelerated pace, enabling tech providers to succeed or fail in the next five years. Product leaders must evaluate benefits and risks for various AI technologies to gain competitive advantage and deliver business value. Overview Strategic Planning ...

Analyst(s):   Sylvain Fabre   |   Anushree Verma   |   Ray Valdes   |   Jonathan Davenport   |   Ehtisham Zaidi   |   Annette Zimmermann   |   Robin Schumacher   |   Afraz Jaffri   |   Erick Brethenoux   |   Vibha Chitkara   |   Alan Priestley   |   Pieter den Hamer   |   Roberta Cozza   |   Svetlana Sicular   |   Bill Ray   |   Nick Ingelbrecht   |   Eric Goodness   |   Danielle Casey   |   Sharat Menon
Premium Research Apr 2024
... The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value, but goes beyond to become a critical competitive differentiator and industry disruptor. Overview Introduction ...

Analyst(s):   Pieter den Hamer   |   Raghvender Bhati
Premium Research Jan 2025
... Organizations struggle to operationalize AI projects due to lack of skills, tooling and teamwork. Technology innovation leaders can better address this challenge by budgeting for and hiring AI engineers to bridge the gap between pilot and production AI. More Detail Gartner Research ...

Analyst(s):   Arun Chandrasekaran
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