Intelligence without Data

Zhaohao Sun
Zhaohao Sun
Yanxia Huo
Yanxia Huo
Papua New Guinea University of Technology

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Intelligence without Data

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Abstract

This article explores intelligence without data. More specifically, it reveals what the study of big data ignores in the trinity age of big data, analytics, and intelligence, and looks at DIKEW intelligence through presenting an integrated framework of intelligence. It then examines intelligence without data and wisdom algebra. It demonstrates that intelligence without data consists of information intelligence without data, knowledge intelligence without data, experience without data, intelligence without data, and wisdom intelligence without data, based on the hierarchy of wisdom. It argues that big data must incorporate intelligence without data to serve the world. At the same time, intelligence without data could enhance human intelligence, cognitive intelligence,

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Zhaohao Sun. 2020. \u201cIntelligence without Data\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 20 (GJCST Volume 20 Issue C1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-C Classification I.2.m
Version of record

v1.2

Issue date
July 16, 2020

Language
en
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Intelligence without Data

Zhaohao Sun
Zhaohao Sun <p>Papua New Guinea University of Technology</p>
Yanxia Huo
Yanxia Huo

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