... The embedded approach to building GenAI applications and AI agents’ external collaboration introduces new cross-organizational security risks that may cause sensitive data leakage and business disruption. Product leaders can use this research to develop “guardrail” products that control risks. Overvi ...
Analyst(s): Evan Zeng | Lawrence Pingree
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... Tech and service providers are at the forefront of leveraging cutting-edge technologies to drive innovation. Large language models (LLMs) are so 2024. Domain-specific language models (DSLMs) are reshaping enterprise AI by moving beyond generic large language models to models tailored for specific industries ...
... Access Research Already a Gartner client? Reasoning models are LLMs that can solve complex and multistep tasks better than prior LLMs. They are better at work that involves logic, planning and reasoning. CIOs must experiment with reasoning models now, but wait for them to mature for use in most areas ...
Analyst(s): Rajesh Kandaswamy | George Brocklehurst | Daniel Sun | Tong Zhang
... innovation in physical AI. Product leaders must define specific, measurable goals to strategically shift investment from general-purpose AI models (LLMs) to domain-specialized models for physical AI (like world models). Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner ...
Analyst(s): Tuong Nguyen | Roberta Cozza | Ethan Cai | Kiumarse Zamanian
... it the pacesetter in AI SOC agents for threat investigation. Competitors who focus on highly contextualized solutions and don’t rely on foundational LLMs can compete. Overview Analysis Gartner Recommended Reading Gartner Insights Abstract ...
... language generation, but they frequently require prompt engineering to adapt output to the organization’s context. To build apps that integrate with LLMs, software engineering leaders must ensure that their teams acquire this critical skill. Gartner Research ...
... longer a downstream distribution tactic but a core strategic imperative. CMOs must prepare for an era where brand integrity (i.e., how accurately an LLM represents us) matters more than brand traffic (i.e., how many people visit us). Overview Gartner Recommended Reading Evolving Insights History ...
Analyst(s): Matt Moorut | Isoke Mitchell | Noam Dorros
... Access Insights Already a Gartner client? LLMs often produce plausible but false outputs (aka hallucinations), risking GenAI reliability and trust. This research explores mitigation strategies across the development and operation stages, offering technical and business lenses for achieving trustworthy ...
... •How to create a systematic process for selecting different LLMs for different tasks to reduce costs while achieving the required performance •How to standardize efficient GenAI usage practices through training, prompt design and reusable prompt repositories •How prompt design affects model accuracy, ...