Proceedings of the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech?25) (Lecture Notes in Networks and Systems, 1941)

This book present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology and Artificial Intelligence. Cloud computing can be seen as any subscription-based on pay-per-use service that extends the Internet’s existing capabilities and has gained more considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools.

For its part, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of cloud infrastructure and techniques.

Cloud computing is the most affordable way to meet AI's power requirements in terms of data storage and computation. It essentially shows how the cloud can be used to support AI in order to achieve consistent results.

Gathering papers presented at the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'25), this book offers a valuable resource for all Information System Managers, researchers, Ph.D. students, developers, end users and policy makers involved in the field of technological and application aspects of cloud and AI.

This book present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology and Artificial Intelligence. Cloud computing can be seen as any subscription-based on pay-per-use service that extends the Internet’s existing capabilities and has gained more considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools.

For its part, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of cloud infrastructure and techniques.

Cloud computing is the most affordable way to meet AI's power requirements in terms of data storage and computation. It essentially shows how the cloud can be used to support AI in order to achieve consistent results.

Gathering papers presented at the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'25), this book offers a valuable resource for all Information System Managers, researchers, Ph.D. students, developers, end users and policy makers involved in the field of technological and application aspects of cloud and AI.