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Premium Research Jan 2026
... executive can escape questions from board directors on AI strategy and results (or the lack of them) and, often, demands for faster progress. Executive leaders need to lower the board’s outsized expectations, while supporting its enthusiasm for AI’s potential to boost shareholder value. Gartner Recommended ...

Analyst(s):   Tina Nunno
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Research Nov 2025
... a Gartner client? Executive pressure to adopt AI is mounting, in some cases, without regard for its implications. This research equips logistics leaders with key insights to help them decide among three scalable, cost-effective strategies for deploying AI agents: bolt-on solutions, embedded agents and ...

Analyst(s):   Brock Johns   |   Simon Tunstall   |   Rishabh Narang   |   Oscar Sanchez Duran
Research Jan 2026
... Newly evolving AI-driven platforms enable CFOs to quickly access unified, validated data and generate forecasts, reducing manual effort and response time in volatile markets. This research identifies four vendors with innovative solutions to power data management and forecasting with AI. Overview Analysis ...

Analyst(s):   Marco Steecker   |   Alex Levine   |   Ash Mehta
Research Nov 2025
... Already a Gartner client? AI is fundamentally changing how procurement operates, requiring new strategic competencies. CPOs must prioritize data quality and governance, evolve toward a digital-first culture and increase procurement risk thresholds to deliver new business impacts in an AI-first world. Analysis ...

Analyst(s):   Micky Keck   |   Magnus Bergfors
Research Jan 2026
... Already a Gartner client? The rapid development of AI capabilities is the key catalyst for supply chain transformation. This set of predictions captures critical trends reshaping supply chain decision making and operating models, enabling CSCOs to scale AI for competitiveness. Strategic Planning Assumptions ...

Analyst(s):   Ilona Hansen   |   Pierfrancesco Manenti   |   Julia von Massow   |   Vas Plessas   |   Mel Mohamednur   |   Don Scheibenreif   |   Jared Nourse   |   Gene Alvarez
Research Dec 2025
... Access Insights Already a Gartner client? AI-driven changes necessitate a comprehensive governance reset, merging structured and unstructured data governance, emphasizing automation, cultural factors, and adopting zero-trust principles for AI-generated data risks, which informs our future predictions ...

Analyst(s):   JC Martel, PhD   |   Marko Sillanpaa   |   Thornton Craig   |   Sally Parker   |   Rachel O'Farrell   |   Guido De Simoni   |   Wan Fui Chan   |   Divya Radhakrishnan   |   Alan D. Duncan
Premium Research Nov 2025
... CFOs can deploy AI-enabled teams — data engineering, MLOps, human-AI hybrid, and business translators — to improve data trust and deliver timely insights. Leaders can choose the right team structure to strengthen decisions without a full-scale overhaul. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Ishleen Kaur Chhabra   |   Marco D'Ascoli
Research Jan 2026
... Access Insights Already a Gartner client? AI technologies in the SDLC are radically transforming and unifying every stage of the development process. Interactive generative AI assistants are giving way to AI agents. Software engineering leaders must avoid technical and organizational obsolescence by ...

Analyst(s):   Hassan Ennaciri   |   Jim Scheibmeir   |   Tigran Egiazarov   |   Keith Holloway
Premium Research Jan 2024
... Gartner First Takes Fresh insights on emerging trends This Prism plots 15 of the most prominent AI use cases for quality management against business value and feasibility. Quality and technology leaders can use this Prism to inform their investment strategies based on maturity and business impact. Gartner ...

Analyst(s):   Arnela Iseric
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