AI services can broadly be separated into three main categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Businesses are using AI microservices for automation, customer engagement, speech recognition, data analysis, and other tasks to improve operations, customer experiences, and innovation. However, the platforms for adopting these services differ for different purposes and business domains. This paper proposes a simple architecture for a container-based AI as a Service (AIaaS) Application that will provide all three Services - SaaS, PaaS, and IaaS to the business on a single platform, thereby, making it uncomplicated for them to adopt and manage these services. This paper also discusses how using the containers-based architecture can help in creating such a platform with the help of Kubernetes and Docker
Article Details
Unique Paper ID: 162965
Publication Volume & Issue: Volume 10, Issue 11
Page(s): 1468 - 1477
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