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Why Data Capability is Important to become an AI Matured Organization?

원문정보

Gyeung-min Kim

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초록

영어

Although firms with advanced analytics and machine learning (which is often called AI) capabilities are considered to be highly successful in the market by making decisions and actions based on quantitative analysis using data, the scarcity of historical data and the lack of right data infrastructure are the problems for the organizations to perform such projects. The objective of this study, is to identify a road map for the organization to reach data capability maturity to become AI matured organizations. First, this study defines the terms, AI capability, data capability and AI matured organization. Then using content analyses, organizations’ data practices performed for AI system development and operation are analyzed to infer a data capability roadmap to become an AI matured organization.

목차

Abstract
1. Introduction
2. Research Methodology
3. Literature Review
3.1 IT/IS capability
3.2 AI Capability and Value Generation
3.3 Maturity of AI capability
4. Data Practices Associated with AI
5. Road maps to improve data capability
5.1 Data Platform Stage
5.2 Data Governance Stage
6. Conclusion and Future Research
References

저자정보

  • Gyeung-min Kim Professor, MIS, School of Business, Ewha Womans University

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