Abstract
Management decisions driven by technical analysis considered to be a daily task for any firm working in Information and Technology sector. Commands, Consults, Votes and Consensus normally built on abstract expertise and legacy data analysis, which are always subjected to variance and inconsistency, and here where Artificial Intelligence, Machine Learning and data analytic plays a major role reduce these side effects, and increase the accuracy when it used prior to the decision making methods. All rights reserved.
Original language | English (US) |
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Title of host publication | IMCIC 2020 - 11th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings |
Editors | Renata Maria Abrantes Baracho, Nagib C. Callaos, Suzanne Kay Lunsford, Belkis Sanchez, Michael Savoie |
Publisher | International Institute of Informatics and Systemics, IIIS |
Pages | 66-71 |
Number of pages | 6 |
ISBN (Electronic) | 9781950492251 |
State | Published - 2020 |
Event | 11th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2020 - Orlando, United States Duration: Mar 10 2020 → Mar 13 2020 |
Publication series
Name | IMCIC 2020 - 11th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings |
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Volume | 1 |
Conference
Conference | 11th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2020 |
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Country/Territory | United States |
City | Orlando |
Period | 03/10/20 → 03/13/20 |
Bibliographical note
Publisher Copyright:© by the International Institute of Informatics and Systemics.
Keywords
- Artificial intelligence
- Big data
- Clustering
- Decision making
- Design
- Machine learning
- Telecommunications
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems