... quantitative models are becoming the foundation of physical AI, with physics-based models combining 3D reasoning, simulation and sensor data beyond LLM capabilities. Product leaders must integrate large physics models into product roadmaps now to capture near-term opportunities in engineering and operational ...
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... MiniMax and Zhipu’s IPO filings expose two divergent foundation model business paths — application-driven versus infrastructure-first — forcing leaders who are responsible for AI to rethink how they allocate capital, pick partners, and set ROI expectations. Insights at a Glance Strategic Planning Assu ...
... systems. CIOs can use LQMs to support responsible AI, as they will set new standards for AI accuracy and reliability by delivering the logical rigor that LLMs lack. Overview Strategic Planning Assumption Insight From the Experts Executive Overview Research Highlights Gartner Associates Supporting This Trend ...
Analyst(s): Aakanksha Bansal | Gene Alvarez | Tuong Nguyen | Annette Zimmermann | Christian Stephan | Samantha Searle
... LLM-powered search engines reduce tech provider visibility by prioritizing trusted third-party voices. Product marketing leaders must empower their teams to build ongoing partner influencer programs, enabling partners to act as advocates and ensure their solutions are featured in LLM-driven discovery ...
... Insights Already a Gartner client? Most providers can cut AI costs by 50% without affecting agentic AI product quality and reach up to 90% with open-weight LLM trade-offs. The AI inference cost reduction ladder shows six optimization strategies — from tiering to open-weight models — ordered by savings, effort ...
... Access Insights Already a Gartner client? Over the next 12 to 24 months, B2C AI will shift from discrete assistants to multiagent orchestration and LLM platform brokerage. CSP product leaders should coordinate agents across care, commerce and home connectivity, with guided confirmation to monetize AI ...
... Companies that provide domain-specific language models (DSLMs) will deliver superior performance and strategic value in the AI race. Product leaders must drive innovation through multimodal solutions and use synthetic data to create high-quality datasets in order to differentiate their DSLMs. Overvie ...
... Declining trust in the news media, the importance of brand social presence and the adoption of LLM-powered search are all impactful trends. But to set channel strategy, heads of communications must look beyond the headlines, uncovering demographic differences and the gap between what audiences say and ...
Analyst(s): Michelyne Chavez | Kelly McHale | Elizabeth Kilbride
... Demand for AI-driven applications requires software engineers to deepen their understanding of large language models. Software engineers should optimize LLM behaviors and rigorously apply evaluation practices to create robust, extensible applications that deliver valuable business outcomes. Overview Problem ...