Big-Data-Based Techniques for Predictive Intelligence

Predictive Intelligence Using Big Data and the Internet of Things Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-6210-8.CH001

Dharmpal Singh, Madhusmita Mishra, S. Sahana

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引用次数: 1

Abstract

Big-data-analyzed finding patterns derive meaning and make decisions on data to produce responses to the world with intelligence. It is an emerging area used in business intelligence (BI) for competitive advantage to analyze the structured, semi-structured, and unstructured data stored in different formats. As the big data technology continues to evolve, businesses are turning to predictive intelligence to deepen the engagement to customers with optimization in processes to reduce the operational costs. Predictive intelligence uses sets of advanced technologies that enable organizations to use data stored in real time that move from a historical and descriptive view to a forward-looking perspective of data. The comparison and other security issue of this technology is covered in this book chapter. The combination of big data technology and predictive analytics is sometimes referred to as a never-ending process and has the possibility to deliver significant competitive advantage. This chapter provides an extensive review of literature on big data technologies and its usage in the predictive intelligence.

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基于大数据的预测智能技术

通过对大数据的分析，发现模式，得出意义，并根据数据做出决策，以智能地对世界做出反应。它是商业智能(BI)中用于分析以不同格式存储的结构化、半结构化和非结构化数据的竞争优势的新兴领域。随着大数据技术的不断发展，企业正在转向预测智能，通过优化流程来加深与客户的互动，从而降低运营成本。预测性智能使用了一系列先进的技术，使组织能够使用实时存储的数据，从历史和描述性的视角转向前瞻性的数据视角。本章讨论了该技术的比较和其他安全问题。大数据技术和预测分析的结合有时被认为是一个永无止境的过程，有可能带来显著的竞争优势。本章对大数据技术及其在预测智能中的应用进行了广泛的综述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predictive Intelligence Using Big Data and the Internet of Things

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