You searched for

Gartner client? Log in for personalized search results.

Show Filters

Filter Results Cancel
Clear All

360 Results found

Sort
Research Apr 2026
... Gartner client? Domain models drive workflow automation by leveraging deep expertise in enterprise data and unique business processes, areas where generic LLMs fall short. To capture this shift, product leaders must integrate domain reasoning and multiagent orchestration to deliver reliable workflow automation ...

Analyst(s):   Annette Zimmermann   |   Apoorva Chhabra   |   Anushree Verma   |   Samantha Searle   |   Roberta Cozza
Get more from Gartner

Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.

Research Mar 2026
... Access Insights Already a Gartner client? Google’s agentic platform orchestration, proprietary LLMs and comprehensive stack for enterprise-grade AI workloads make it the front-runner among conversational AI platforms. Competitors can close the gap with highly valued, business-centric analytics and no-code ...

Analyst(s):   Arup Roy   |   Adrian Lee
Premium Research Apr 2026
... Token costs for today’s LLMs are forecast to fall 90% by 2030. However, agentic AI token usage and inference costs are exploding across a variety of model types. Relying on cost-plus, token-based AI pricing in this environment will negatively impact product competitiveness and profitability. Insights ...

Analyst(s):   John Santoro   |   Ron Burns   |   Will Sommer
Premium Research Dec 2024
... encounter unique challenges in utilizing global models. Aimed at CIOs and AI leaders, this research investigates the essential components of an effective LLM and the current obstacles in constructing one. More Detail Gartner Recommended Reading Gartner Research ...

Analyst(s):   Tong Zhang   |   Menglin Cao
Premium Research Apr 2024
... language models. Data and analytics technical professionals must understand the key roles and skills their AI teams will need when developing a RAG-based LLM solution. Overview Analysis Recommendations Conclusion Gartner Recommended Reading Note 1: Sample RAG Development Tools Note 2. RAG Evaluation Metrics ...

Analyst(s):   Joe Antelmi
Research Aug 2024
... incorporate large language models are experiencing problems with hallucinations, grounding, poor user experience and inappropriate data stores for use with LLMs. Software engineering leaders must address these issues to ensure successful use of GenAI. Overview Strategic Planning Assumption Introduction Analysis ...

Analyst(s):   Philip Walsh   |   Haritha Khandabattu   |   Van Baker
Premium Research Feb 2024
... Investing in generative AI (GenAI) applications can be complex and expensive. Sourcing, procurement and vendor management leaders must inform internal stakeholders of the risks of GenAI credit-based pricing structures and negotiate price protection to lessen the impact of uncontrolled spending. Sessi ...

Analyst(s):   Melanie Alexander
Premium Research Feb 2026
... Gartner First Takes Fresh insights on emerging trends Anthropic launched Claude Cowork to boost adoption of the Claude LLM across knowledge work functions. Its 11 open-source plugins have broad appeal and include support for marketing content, campaigns and launches, but in its “research preview” state ...

Analyst(s):   Michael McCune   |   David Yockelson
Research Apr 2026
... Access Insights Already a Gartner client? As websites evolve into dynamic engagement hubs and LLM-based search platforms deliver zero-click search results, buyers arriving through these channels show higher purchase intent. Demand generation leaders must update their retargeting strategies to better ...

Analyst(s):   Serena Philip
Items per page: 118–126 of items 14 of 40 pages