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市場調查報告書

智能建築的人工智能的未來

The Future of AI for Smart Buildings

出版商 Guidehouse Insights (formerly Navigant Research) 商品編碼 954109
出版日期 內容資訊 英文 18 Pages; 5 Tables, Charts & Figures
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智能建築的人工智能的未來 The Future of AI for Smart Buildings
出版日期: 2020年08月12日內容資訊: 英文 18 Pages; 5 Tables, Charts & Figures
簡介
AI可以利用模仿人類認知的先進計算機科學技術來幫助解決諸如減少設施能耗等問題。在某些建築物中已經使用了AI,因此有必要實現AI可以改善運營的承諾。同樣,在由於COVID-19流行而導致的大規模設施封鎖期間,正在對AI支持安全空間的能力進行更嚴格的評估,以此作為衡量社會距離的新方法。

該報告調查了智能建築的全球AI市場,定義了AI,使用AI解決商業建築問題,用例,評估和部署AI解決方案的路線圖以及利益相關者。我們向您提供信息,例如建議

目錄

  • 因素
  • 環境
  • 推薦
  • 瞭解AI是加速介紹的關鍵
    • 通過AI促進智能建築
  • 通過AI改善商業空間
    • 案例研究:人工智能成就
    • 案例研究:人工智能零售支持
    • 案例研究:靈活性,人工智能的特徵
    • 人工智能挑戰
  • 對智能建築的AI支持
    • 短期:支持大流行後恢復
    • 長期:可持續建築
    • 參考差距
  • 利益相關者需要採用AI策略
    • 借助Guidehouse Insights為AI和智能建築的未來提供支持
目錄
Product Code: SI-AISB-20

There is much hype surrounding the use of AI across many sectors, including commercial buildings. Vendors often tout their solutions for commercial buildings in ways that sound almost magical. But seen in its proper context, AI is simply the use of advanced computer science techniques that mimic human cognition to help solve problems, such as reducing energy consumption in a facility.

AI is already being used in some buildings, and the hype should not cloud the picture that AI can improve operations. Moreover, in this period of widespread facility shutdowns due to the COVID-19 pandemic, AI is being evaluated more closely for its ability to support safer spaces with social distancing as the new norm.

This report defines AI for the commercial building space. It also discusses how AI can help solve problems in commercial buildings. Several use cases demonstrate the value of AI for building owners, managers, and tenants. In addition, the report offers a roadmap for assessing and deploying AI solutions, as well as recommendations for stakeholders: overlook the hype and learn from companies already using AI; embrace AI as part of a short-term or long-term strategy; and focus on using quality data to support AI implementations.

KEY QUESTIONS ADDRESSED:

  • What is AI for commercial buildings?
  • What prevents AI from wider adoption in the commercial building space?
  • How can a building benefit from AI?
  • What vendors support AI for commercial buildings?
  • Is there a roadmap to help building owners and facilities managers embrace AI?

WHO NEEDS THIS REPORT:

  • Intelligent or smart building software vendors
  • Intelligent building integrators
  • Intelligent building solution providers or partners
  • Utilities
  • Investor community

Table of Contents

  • Spark
  • Context
  • Recommendations
  • Understanding AI Is Key to Accelerating Adoption
    • AI Fuels Smart Buildings
  • AI Promises to Improve Commercial Spaces
    • Case Study: AI Shines in Action
    • Case Study: AI Supports Retail
    • Case Study: Flexibility Remains a Hallmark of AI
    • AI Still Faces Doubts
  • AI Supports Smarter Buildings
    • In the Near Term, AI Can Aid Buildings Reopening Post Pandemic
    • In the Long Term, AI Can Create Smarter, Sustainable Buildings
    • The Standards Gap Will Close
  • Stakeholders Must Embrace an AI Strategy
    • Guidehouse Insights Offers a Path Forward for AI and Smart Buildings

LIST OF CHARTS AND FIGURES

  • Branches of AI Applicable to Smart Buildings
  • BBVA Headquarters in Madrid: A Smart Facility Using AI Techniques
  • Big Box Retailer
  • Verdigris' AI-Powered Adaptive Automation Product for Building Controls
  • Hardware, Software, and Services Spend Supporting AI and Intelligent Buildings, World Markets: 2020-2029