... specific industries, disrupting the enterprise software market in the AI race. CIOs and innovation leaders must understand DSLMs to address generic LLM limitations and decide on their adoption in specialized situations. How to Use This Presentation Gartner Recommended Reading Gartner Research ...
Analyst(s): Dave Aron | Tsuneo Fujiwara | George Brocklehurst
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.
... graphs stand out as two key technologies driving advancements in AI. This research helps data scientists to explore how integrating KGs can enhance LLMs, specifically retrieval-augmented generation, by improving factual accuracy, contextual grounding, and enabling complex reasoning tasks. Overview Analysis ...
... Software startups are leading a movement away from an overreliance on a closed LLM monoculture to embed deep domain-specific intelligence and value. Product leaders must differentiate solutions with specialized language models to seize the surging demand for AI-driven value. Overview Analysis Gartner ...
... rising surge of agentic application development. Product managers must deliver enterprise-ready MCP features to enable developers to link AI agents, LLMs and APIs and deliver resilient composable applications. Overview Strategic Planning Assumption Analysis Conclusion Gartner Recommended Reading Gartner ...
... investment with the right talent and operating model readiness and those that lag behind. This Gartner webinar explores how emerging AI tools, from LLMs to agentic AI, are redefining workflows and shifting teams toward more strategic, creative and value‑driving activities. The session also examines the ...
... Application and LLM providers currently have the inside track in the race for agentic AI. However, the race is far from over, with all providers facing the need to radically change their product, operating and business models to move agents from being smarter tools to providing answers, actions and business ...
... solutions and the market grows, sales operations leaders must implement a structured evaluation approach based on a thorough understanding of what makes LLM-based AI agents effective. Overview Strategic Planning Assumption Introduction Analysis Gartner Recommended Reading Gartner Research ...
Analyst(s): Guy Wood | Dan Gottlieb | Adnan Zijadic
... DSLMs are outperforming general-purpose LLMs, demonstrating productionized and scalable value. For a successful DSLM strategy, chief product officers and product leaders must decide initial pretuning depth, engineer customer fine-tuning pathways and secure data pipelines that will evolve into a lasting ...
... 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 ...