... 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 cl ...
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... Generative AI is rapidly advancing, powered by reasoning models, multimodal capabilities, and small and domain-specialized models. Product leaders must evaluate the maturity of GenAI model capabilities to effectively integrate them to serve business outcomes to unlock new monetization opportunities. ...
Analyst(s): Vibha Chitkara | Alfonso Velosa | Gunjita Mundeja | Annette Jump | Ray Valdes | Radu Miclaus
... The tech innovators in agentic AI are addressing emerging challenges in workflow design, agent collaboration, reliable performance and high autonomy. Product leaders must design differentiated agents by building innovative functionality that directly solves critical industry challenges. Overview Analysis ...
... Access Research Already a Gartner client? Agentic AI is emerging as a transformative force in enterprise technology, poised to reshape how businesses operate. Product leaders have an opportunity to outmaneuver the vendor landscape, build emerging strategies for success, identify key challenges and shape ...
... Adoption of domain-specific language models will fail unless product leaders are effective with change management and curation of AI-ready data. Product leaders should improve data readiness, educate clients and address computational demands to drive enterprise-scale adoption of DSLMs. Overview Strate ...
... start out small with simple yet useful agentic AI use cases that demonstrate value but keep scalability, adaptability and interoperability of agentic AI in mind for future innovation. Overview Analysis Gartner Recommended Reading Gartner Research ...
... decentralized ecosystem. Product leaders should use this research to harness DSLM power, explore tech innovators and develop strategies to outpace competition in the AI race. Strategic Planning Assumptions Analysis Research Highlights Gartner Recommended Reading Gartner Research ...
... In the high-stakes AI race for GenAI enterprise value, small model architectures and new DSLM specialization techniques are emerging as game changers. Product leaders must pivot to these architectures and explore new domain model customization strategies to secure success and differentiation. Overview ...
... Using AI successfully does not require “AI-ready” data. Product leaders must build agentic AI systems architected to accomplish work using imperfect, incomplete and disparate data, similar to how humans work, or else risk losing business and adoption to solutions that do. Overview Analysis Gartner Reco ...