... Already a Gartner client? As AI agents become always-on inside products, overleveraging large models quietly breaks product economics. Small language models offer an efficient and specialized execution engine for high-volume AI use cases, helping scale AI products and agentic AI without runaway cost or complexity ...
Analyst(s): Omar Ansari | Radu Miclaus | Jim Hare
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... rely on handshakes and consensus to build AI trust will stall adoption and add to AI resistance, even if the technology is sound. Trust is now a hard skill. Only those who engineer challenge, transparency, and shared accountability will scale AI and enable true AI business value. Insights at a Glance Issue ...
Analyst(s): Julia McDowell | Christie Struckman | Madelin Santana | Kevin Smith
... leaders, old-school account growth can’t keep pace with complexity in the market. Those who harness AI to unlock reimagined opportunities with personalized connection to stakeholders will win. Embrace the disruption — drive 20% to 30% growth in top accounts, or risk being replaced. Insights at a Glance Strategic ...
... can delay critical decisions about customer engagement. Chief financial officers can follow Intermedia’s approach to build AI-powered financial data categorization tools using in-house “citizen data scientists.” Case Overview Problem/Objective Critical Components Results Recommendations Gartner Recommended ...
... Reliability is a core challenge for AI agent enterprise adoption. Current AI agents are commonly built on top of LLMs whose performance varies unpredictably across tasks. However, AI leaders can improve reliability at the system level by controlling their AI agents’ scope and level of autonomy, setting ...
Analyst(s): Gary Olliffe | Tong Zhang | Birgi Tamersoy | Erick Brethenoux | Ben Yan | Leinar Ramos | Jitendra Subramanyam | Pieter den Hamer
... Gartner First Takes Fresh insights on emerging trends Qwen’s large language model excels in multimodal capabilities, extensive model selection offering open model options for easier access and customization. It faces global adoption challenges due to limited commercial availability, distrust of Chinese-originated ...
... Insights Already a Gartner client? AI requires high investments and carries the risk of delivering marginal returns. CEOs need CHROs to demonstrate value with existing AI tools before budgets are approved for new HR purchases. Discover practical use cases to deliver AI value from existing tools. Insights ...
... This episode of the D-Suite focuses on managing innovation in data, analytics and AI projects. Gartner expert Michael Gabbard and Constantyn Chalitsios, chief digital officer at Westlake, share their insights on balancing immediate ROI demands with forward-looking innovative investments. Gartner Research ...
Analyst(s): Michael Gabbard | Rita Sallam | Afraz Jaffri
... Rapid advances inAI and GenAI, along with other macrotrends, will fundamentally reshape dimensions of the midsize enterprise IT function, changing the ways it works, builds and runs. Here are six Gartner positions that give CIOs insight into leading their organizations through this disruption. Gartner ...
Analyst(s): Maria Nelson | Roger Caleya | Neha Dixit