Abstract
This paper shows a summary of a review of enabling technologies, maturity models, and open research on Digital Transformation (DT). The methodology used for this systematic review is Kitchenham's guide, which considered the phases of Planning, Conducting and Communicating the Review. This paper aims to present the leading technologies to support DT, which has now developed Artificial Intelligence, Big Data, Internet of Things (IoT), Data Analysis, and BlockChain. About DT Models Maturity, the authors conclude that it is a field that needs a lot to develop for application in different industries. Finally, the main challenge of DT is integrating technologies and business processes through the prior assessment of Maturity Models.
| Original language | English |
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| Title of host publication | ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting |
| Editors | David Rivas Lalaleo, Manuel Ignacio Ayala Chauvin |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350338232 |
| DOIs | |
| State | Published - 2023 |
| Event | 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador Duration: 10 Oct 2023 → 13 Oct 2023 |
Publication series
| Name | ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting |
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Conference
| Conference | 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 |
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| Country/Territory | Ecuador |
| City | Ambato |
| Period | 10/10/23 → 13/10/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Artificial Intelligence
- Big Data
- BlockChain
- Data Analysis
- Digital Transformation
- IoT
- Machine Learning
- Maturity Models