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Research Mar 2026
... Leaders responsible for AI risk substantial cost overruns, during development and postdevelopment operations, with AI agent initiatives leveraging LLMs. Use these guidelines to identify and manage key drivers of the most significant development and operational cost risks. Gartner Insights Abstract ...

Analyst(s):   Yogesh Bhatt   |   Deven Tasgaonkar   |   Mike Fang   |   Ben Yan
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Premium Research Feb 2026
... software security risks that require new DevSecOps practices. Software engineers must extend their DevSecOps practices with security practices tailored to LLM applications. Overview Analysis Guidance Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Johnny Walters
Premium Research Mar 2026
... CMOs seek to determine both the activities to transform with AI and the tools with which to do so, Anthropic’s campaign planning plugin for the Claude LLM should be considered for certain situations delineated here. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights ...

Analyst(s):   David Yockelson   |   Michael McCune   |   Jenifer Silverstein
Research Mar 2026
... Access Insights Already a Gartner client? Competitive advantage shifts from generic LLMs to multiagentic architectures that leverage domain-specific models to execute complex workflows. Product managers should prioritize mesh architectures and explainability to fully leverage DSLMs’ competitive edge ...

Analyst(s):   Esha Bhatia
Premium Research Feb 2026
... Leaders speaking to Gartner at the World Economic Conference in Davos noted a pivot away from generalized LLMs to tightly scoped domain models and reasoning. Tech CEOs and AI leaders can drive tangible business value and differentiation by focusing on these specialized solutions. Strategic Planning Assumptions ...

Analyst(s):   Errol Rasit   |   Frank Ridder
Research Feb 2026
... Access Insights Already a Gartner client? To address valid buyer concerns about LLM accuracy, hallucinations, misinterpreted prompts, and other risks, product leaders must integrate explainable AI into their offerings. This enhances transparency, manages risks, and safeguards product value, while creating ...

Analyst(s):   Kameron Chao   |   Bart Willemsen   |   Jon Dressel
Research Apr 2026
... Access Insights Already a Gartner client? Cloud-based LLMs potentially expose regulated enterprises to significant data sovereignty and compliance risks, driving the need for localized AI. Security product leaders must integrate on-premises small language models to ensure data privacy and capture compliance-driven ...

Analyst(s):   Tom Powledge
Premium Research Apr 2026
... Traditional dashboards are being challenged by LLM-native chat experiences, which promise a more intuitive way to interact with data. Data and analytics leaders should use this research to modernize their analytics and repurpose dashboards for better strategic alignment, actionability, and delivery of ...

Analyst(s):   Fay Fei   |   Georgia O'Callaghan
Premium Research Mar 2026
... First Takes Fresh insights on emerging trends Oracle AI Database 26ai introduces significant innovations that enable governed agentic AI, but effective LLM use often requires sharing data with frontier models. Data and analytics leaders should actively assess migration, interoperability, and governance strategies ...

Analyst(s):   Aaron Rosenbaum   |   Balaji Abbabatulla
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