The Role of Cloud-Based AI and ML for Interactive Web Applications : Opportunity and challenges
Habtemariam, Yohannes (2024)
2024
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024053018159
https://urn.fi/URN:NBN:fi:amk-2024053018159
Tiivistelmä
In recent years, companies have increasingly migrated to cloud platforms for the extensive capacities, scalability, cost-effectiveness, collaborative features, security, and access to advanced artificial intelligence (AI) and machine learning (ML) services.
Understanding the role of cloud-based AI and ML features in empowering web applications was among the key objectives of this research. This thesis has explored AI features and ML-related tools that a developer can leverage to create powerful applications using cloud infrastructure. To achieve comprehensive results, a multi-cloud strategy was used. Challenges and setbacks were documented to ensure a complete discussion and maintain transparency with the audience. A new Azure ML model was developed and deployed to explore cloud-based AI and ML services. Additionally, Azure's Custom Vision and Amazon Comprehend were employed to showcase the role of cloud-based AI services in creating interactive web apps.
The web application, powered by cloud-based intelligence, has shown the effectiveness of AI and ML tools in developing interactive, secure, and scalable web applications using cloud-based modern technologies. This thesis offers valuable insights that can help make informed decisions regarding integrating AI and ML into cloud platforms as essential components of software development.
Understanding the role of cloud-based AI and ML features in empowering web applications was among the key objectives of this research. This thesis has explored AI features and ML-related tools that a developer can leverage to create powerful applications using cloud infrastructure. To achieve comprehensive results, a multi-cloud strategy was used. Challenges and setbacks were documented to ensure a complete discussion and maintain transparency with the audience. A new Azure ML model was developed and deployed to explore cloud-based AI and ML services. Additionally, Azure's Custom Vision and Amazon Comprehend were employed to showcase the role of cloud-based AI services in creating interactive web apps.
The web application, powered by cloud-based intelligence, has shown the effectiveness of AI and ML tools in developing interactive, secure, and scalable web applications using cloud-based modern technologies. This thesis offers valuable insights that can help make informed decisions regarding integrating AI and ML into cloud platforms as essential components of software development.