The emergence of cloud computing had introduces the as-a-service approach to the world. With organisations requiring different applications and services to empower their businesses, as-a-service is evolving over the years to meet these demands. software-as-a-service (SaaS), platform as-a-service (PaaS) to Infrastructure as-a-service (IaaS), even ransomware as-a-service, the as-a-service offering is expanding. Nevertheless, the evolution of as-a-service has no limitation. Nowadays, as the role of Artificial Intelligence (AI) had shown growing importance to businesses, as-a-service has also started to incorporate AI services termed as AI-as-a-service (AIaaS), which allows organisations to access AI capabilities without having to invest in building and maintaining their own infrastructure.
Artificial Intelligence as-a-service or in short AIaaS can be defined as cloud-based systems providing on demand services to organisations and individuals to deploy, develop, train, and manage AI models. S. Lins et al., Artificial Intelligence as a Service, Bus Inf Syst Eng, (Germany, Institute AIFB, Research Group Critical Information Infrastructures, 2021). Simply put, AIaaS is a system in the cloud that offers not only AI software and applications but also tools and services that are available off the shelf across the networks to implement and manage AI models.
The future now sees AI as essential empowerment technologies. The demands for better user experiences is increasing thus making more and more AI in industries and businesses see the needs to quickly bring AI model into their practice. The implementation however is not a simple tasks. It had been known to organisations that implementing AI model comes with challenges; the cost spend on AI technology is massive and lack of data for study AI expertise. AIaaS solves this matter by making AI more accessible. With AIaaS, organisations are able leverage data insights with lesser investment in talent and resources and even without the need to have their own cloud environment.
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