... process automation continues to be critical for the orchestration of complex business processes across organizational domains. With the addition of LLM-based AI to the automation stack, the market is evolving to include the adaptive orchestration of AI agents and existing deterministic and human capabilities ...
Analyst(s): Andrew Comes | Adam Briggs | Marc Kerremans | Tushar Srivastava | Saikat Ray | Sachin Joshi
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... security testing provides the vital diagnostics for hardening AI applications. However, commonly used prompt spraying is superficial and fails to assess LLMs and autonomous agents, jeopardizing strategic adoption. Security architects must drive multivector automated validation to support real AI red teaming ...
... 智能体的研发步伐不断加快，但不同 AI 智能体的发展进程存在明显差异，导致其在企业级应用中的成熟度参差不齐。本次 webinar 将围绕 AI 智能体在企业中的应用现状，帮助企业 AI 负责人系统评估各类智能体当前的成熟度水平，从而制定更具前瞻性与执行力的落地策略。 •多数AI智能体仍是LLM增强工作流，离真正的智能体仍有差距 •LLM 智能体在企业中的成熟度因领域而异，企业应根据不同使用场景的成熟度制定差异化策略 •实现 AI 智能体的业务价值，需要兼顾智能体能力与运行环境，并优先投入长期核心资产而非短期技术 如您在观看过程中有任何问题请联系 gartnerwebinars@gartner.com。 ...
... when high thresholds of accuracy are required. Data and analytics leaders can overcome RAG’s limitations in handling complex use cases by supporting LLM interactions with contextual information and knowledge graphs using GraphRAG. Gartner Insights Abstract ...
Analyst(s): Christopher Long | Yogesh Bhatt | David Pidsley
... drive foundational capabilities Large language models (LLMs) remain the backbone of GenAI. These pretrained, general-purpose models can be customized for diverse use cases — making them the most mature technology on the Hype Cycle. Open-source LLMs, domain-specific GenAI models and large reasoning models ...
... Technology Infrastructure Research Board members regarding their strategies for LLMs. It discusses members’ use cases for LLMs, their approaches to develop and execute the LLM provider strategy, and the constraints in executing their LLM strategy. Overview Summary of Results Survey Results Detail Gartner Research ...
... still need to evaluate LLMs based on business impact. That means assessing LLMs to ensure scalability, efficiency and long-term value. Evaluating LLMs solely on cost can lead to misalignment with long-term business objectives. Several critical factors should guide your assessments. LLM pricing trends and ...
... Agentic AI presents the ability to create automated solutions using LLMs to drive execution of tasks and processes. Software architects must learn an emerging set of patterns for AI agent architecture, design and operations to enable the delivery and ensure robustness of these new capabilities. Overview ...