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English(EN) From Hype to ROI: An Economic Model for LLM Adoption in Information Systems and Security Operations

新的经济模型有助于安全运营中的LLM采用决策

已开发出一种新的经济模型,以帮助组织在信息系统和安全运营中采用大型语言模型(LLM)方面做出明智的决策。该模型使用蒙特卡洛模拟来评估在LLM效率和成本的各种假设下的投资回报率(ROI)。初步应用于安全运营中心(SOC)表明,盈利能力高度依赖于具体情况,通常需要部署具有高准确性和低不确定性,而错误成本和模型定价是次要因素。 AI

影响 为组织提供了一个量化框架,用于评估LLM集成的财务可行性,可能指导对AI技术的战略投资。

排序理由 该集群包含一篇详细介绍LLM采用新经济模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的经济模型有助于安全运营中的LLM采用决策

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群包含一篇详细介绍LLM采用新经济模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pellegrino Casoria, Andrea Araldo, Rosario Patan\`e, Simon Pietro Romano ·

    从炒作到投资回报:信息系统和安全运营中LLM采用的经济模型

    arXiv:2610.33352v1 Announce Type: cross Abstract: Large Language Models (LLMs) promise significant efficiency gains across information-intensive operations by automating repetitive language-based tasks. However, adoption decisions remain largely opportunistic, as organizations st…