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Research Jun 2025
... differentiators that correlate with high AI maturity. The best strategy is to centralize some AI capabilities but lead others from the center in a hybrid model; choosing which is which is the key to success. Overview Introduction Analysis Gartner Recommended Reading Gartner Research ...

Analyst(s):   Whit Andrews   |   Birgi Tamersoy
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Research Oct 2025
... Access Research Already a Gartner client? This library showcases a range of service and support organizational structures, from traditional models to those leveraging AI, across various industries. Customer service and support leaders can use these examples to explore how peers are structuring teams, ...

Analyst(s):   Aprajita Chauhan   |   Karan Anand
Premium Research Aug 2025
... Domain-specific language models are displacing LLMs to deliver relevant solutions that provide tangible business value across many business areas and industries. Product leaders should adopt DSLMs to help clients achieve more benefits from GenAI and to develop domain-specific AI agents to address clients ...

Analyst(s):   Annette Zimmermann   |   Samantha Searle   |   Kanishka Chauhan   |   Alizeh Khare   |   Roberta Cozza   |   Esha Bhatia
Premium Research Aug 2025
... venture capital investors now dominate AI innovation funding, threatening the relevance of in-house R&D operations and upending traditional VC funding models. To raise the venture capital required to succeed in the AI race, product leaders must adapt how they approach fundraising to prioritize CVCs. Overview ...

Analyst(s):   Raymond Paquet   |   Annemarie Roussel   |   Mark Wesker
Premium Research Jul 2025
... Domain-specific language models enable real value breakthroughs in mission-critical and agentic AI through better performance, fewer hallucinations and lower risk. Product leaders should adopt DSLMs for relevant, critical business use cases, such as knowledge management, improving HR, banking and market ...

Analyst(s):   Roberta Cozza   |   Alizeh Khare   |   Kanishka Chauhan   |   Annette Zimmermann   |   Shrish Pant   |   Esha Bhatia   |   Samantha Searle
Premium Research Sep 2025
... Organizations must have a robust strategy for provisioning the data for development, training, testing, deploying and monitoring of machine learning (ML) models. This document guides data scientists on how to build an effective technical data strategy for data to deliver ML initiatives. Overview Problem Statement ...

Analyst(s):   Cuneyd Kaya
Research Oct 2025
... providers signal a future where a few large-scale intelligence platforms achieve market dominance — and effectively displace revenue streams and business models as we know them. Product leaders can meet the moment through differentiated offerings and data independence. Overview Analysis Gartner Recommended ...

Analyst(s):   Mark McDonald
Premium Research Jul 2025
... now-unlawful factors. To prepare for increased oversight, leaders responsible for AI must prioritize "defensible AI," retrofit AI-ready data and overhaul model explainability. Overview Strategic Planning Assumptions Introduction Impacts and Recommendations Contributors Gartner Recommended Reading Evolving Insights ...

Analyst(s):   Lauren Kornutick   |   Lydia Clougherty Jones   |   Lydia Clougherty Jones
Premium Research Jul 2025
... Recently released U.S. executive orders and a detailed “AI Action Plan” aim to boost American progress, but at the risk of further fragmenting global AI models and cloud hosting. CIOs can use this research to respond to the technology challenges and opportunities these policies present. Gartner Recommended ...

Analyst(s):   Industries Research Team
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