Democratizing AI: Cloud-based APIs and the Future of Intelligent Applications
Ojaswin Khamkar, Sarthak Nagoshe, Priyanka Deshpande
AI, API, application programming interface, artificial intelligence, bias mitigation, cloud AI services, cloud API deployment, cloud computing, cloud infrastructure, deep learning, design considerations, democratization of AI, explainability, fairness, industry transformation, machine learning, on-demand access, performance considerations, responsible AI development, scalability, security, future directions
This paper reviews cloud-based AI solutions, focusing on user interaction through Application Programming Interfaces (APIs). It analyzes functionalities, design considerations, and limitations of these APIs for accessing and utilizing cloud-based AI services. Security in cloud computing is emphasized as crucial for trust. Furthermore, the paper explores the diverse applications of cloud-based AI across industries, highlighting its transformative potential. Finally, it discusses the importance of explainability, fairness, and ethical considerations in cloud-based AI development.
Article Details
Unique Paper ID: 162727

Publication Volume & Issue: Volume 10, Issue 10

Page(s): 889 - 893
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