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Broad application of artificial intelligence for document classification, information extraction and predictive analytics in real estate
Journal of General Management Pub Date : 2019-04-01 , DOI: 10.1177/0306307018823113
Mario Bodenbender 1 , Björn-Martin Kurzrock 1 , Philipp Maximilian Müller 1
Affiliation  

Real estate represents a major share of economic activities and wealth in all economies. Due to the lack of widely acknowledged standards, however, the structuring, providing and managing of a life cycle-comprehensive building documentation yet remain challenging. Based on the empirical analysis of 8965 digital documents from 14 properties of 8 different owners, the article presents a model that will unify existing approaches and lead to the development of a document classification standard. This provides the basis for software systems to process relevant data and create timely information over the entire life cycle of a building. Further, it is shown that automated information extraction through artificial intelligence will become instrumental for enhanced and innovative business models and products in real estate such as automated data validation and data evaluation, documentation review, benchmarking and other analytical applications.

中文翻译:

人工智能在房地产文件分类、信息提取和预测分析中的广泛应用

在所有经济体中,房地产占经济活动和财富的主要份额。然而,由于缺乏广泛认可的标准,构建、提供和管理生命周期综合建筑文档仍然具有挑战性。基于对来自 8 个不同所有者的 14 个属性的 8965 份数字文档的实证分析,本文提出了一个模型,该模型将统一现有方法并导致文档分类标准的制定。这为软件系统在建筑物的整个生命周期中处理相关数据和创建及时信息提供了基础。更多,
更新日期:2019-04-01
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