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Premium Research May 2024
... Artificial Intelligence has been an evolving domain for decades, but large language models have given the practice a new urgency and face. To help members navigate this landscape, this note shares several use cases and considers how members can assuage concerns around data privacy and regulation. Ack ...

Analyst(s):   Research Board Research Team
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Research Jan 2026
... Access Insights Already a Gartner client? LLMs and agentic AI are rapidly superseding older legacy chatbots. Enterprise application leaders must know how to migrate from deterministic, rule-based chatbots to GenAI-enabled ones and/or conversational AI agents to cut technical debt and to find the best ...

Analyst(s):   Tigran Egiazarov   |   Gabriele Rigon   |   Justin Tung   |   Arup Roy
Premium Research Apr 2024
... regarding their enterprise’s role in sponsoring and executing artificial intelligence (AI) and large language models (LLM) responsibilities. It also discusses the structure of managing LLMs throughout their lifecycle and the metrics for gauging their progress and effectiveness. Overview Summary of Results ...

Analyst(s):   Consult the Board Research Team
Premium Research Nov 2025
... series products, Z.ai has emerged as one of the leading AI vendor race players in China and a serious contender internationally through open-source LLM innovation. The GLM series draws strength from its robust academic foundation, competitive pricing, and strategic alignment with national Chinese priorities ...

Analyst(s):   Anthony Mullen   |   Daniel Sun
Premium Research Feb 2025
... current GenAI solutions. Enterprise need for highly contextualized, reliable and cost-effective models means domain-specific models will displace generic LLMs. Product leaders at TSPs can leverage this trend to drive enterprise scale adoption of GenAI. Overview Strategic Planning Assumptions What You Need ...

Analyst(s):   Roberta Cozza   |   Annette Jump   |   Mark McDonald
Premium Research Mar 2025
... The launch of DeepSeek R1 has accelerated LLM commoditization and multipolarization in GenAI, influencing future data management strategies toward a focus on AI-readiness and data sovereignty. Data and analytics leaders can use this research to guide their organization’s data-centric AI strategy. Overview ...

Analyst(s):   Mike Fang   |   Xingyu Gu   |   Robert Thanaraj   |   Mark Beyer   |   Julian Sun
Research Feb 2026
... features to streamline issue identification, offer context-aware suggestions for corrective actions, and automate remediation actions using AI/GenAI/LLMs/NLP. D&A leaders can use this research to evaluate solutions that best fit their use case. Overview Strategic Planning Assumptions What You Need to ...

Analyst(s):   Amy Bickel   |   Sue Waite   |   Divya Radhakrishnan
Premium Research Jan 2024
... U.S. healthcare payers are actively implementing large language models and generative AI technologies, according to a November 2023 Gartner survey. Our survey insights can help CIOs benchmark against peers’ adoption trends, use-case priorities and actions taken. Overview Data Insights Gartner Recommend ...

Analyst(s):   Mandi Bishop
Premium Research Jun 2024
... More light LLMs have been integrated via dedicated AI hardware on AI- and GenAI-enabled PCs, smartphones and wearables. Despite the hype, product managers need to assess the benefits and challenges of integrating light LLMs into AI devices. More Detail Gartner Recommended Reading Gartner Research ...

Analyst(s):   Rishi Padhi   |   Ranjit Atwal
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