About this Research Topic
In recent years, software systems have gained the potential to gather data massively. In addition to traditional data sources that compel human interaction, IoT devices have emerged, extending the amount of available information and opening new implementation scopes.
The troves of information require versatile and innovative strategies to be organized, transmitted, and crossed with different sources to increase their meaning and usefulness. Sampling, transmission, data centralization, systems integration, and analysis are now accomplished using diverse approaches that are not always standard but effective and contribute to developing technical areas such as computer science, data sciences, statistics, and artificial intelligence.
The goal is to call for research and review articles as well as industrial reports on the latest advances in software approaches that cover new methods or algorithms to manage, cross-integrate, and obtain value from a large amount of data.
Submitted articles should be related to one or more of the following topics:
- Artificial Intelligence
- Business Analytics
- Cloud Computing
- Cross-platform data integration
- Data Analysis
- Data Science
- Decision Systems
- Enterprise Information Systems Applications
- IoT systems
- IT Architectures for Data Analysis
- Plugin development
The troves of information require versatile and innovative strategies to be organized, transmitted, and crossed with different sources to increase their meaning and usefulness. Sampling, transmission, data centralization, systems integration, and analysis are now accomplished using diverse approaches that are not always standard but effective and contribute to developing technical areas such as computer science, data sciences, statistics, and artificial intelligence.
The goal is to call for research and review articles as well as industrial reports on the latest advances in software approaches that cover new methods or algorithms to manage, cross-integrate, and obtain value from a large amount of data.
Submitted articles should be related to one or more of the following topics:
- Artificial Intelligence
- Business Analytics
- Cloud Computing
- Cross-platform data integration
- Data Analysis
- Data Science
- Decision Systems
- Enterprise Information Systems Applications
- IoT systems
- IT Architectures for Data Analysis
- Plugin development
Keywords: Data analytics, Big data, Software architectures, Machine Learning, IoT solutions, Plugin development, Integration bridges
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
