Introduction
We are in the golden age of AI (1). AI adoption makes businesses more creative, competitive, and responsive. The software-as-a-service (SaaS) model, coupled with the advancements of the cloud, has matured the software production and consumption process. Most organizations prefer to “buy” AI capabilities than “build” their own. Hence SaaS providers, such as Salesforce, SAP, Oracle, etc., have introduced AI platform capabilities, creating AI-as-a-Service (AIaaS) model. This evolution has made AI adoption easier for enterprises (2).
For quality assurance (QA) in general, testing in particular plays a vital role in the AI platform adoption. Testing is complex in the adoption of an AI platform and the reasons are: