Have you heard about AI-as-a-Service

[User007]

As service modes are not new to us. We have seen many articles that discuss the benefits of PaaS, SaaS, and IaaS.
But there is a new trend that gaining more traction, AI-as-a-Service.
Do you want to know about the pros and cons of the service? Let's discuss.

[User007]

The term "as a service" refers to a variety of cloud-based technologies. A third-party company provides and hosts these solutions. They are a less expensive option for designing solutions from the ground up.

Artificial Intelligence as a Service (AIaaS) is a third-party service that outsources artificial intelligence (AI). It's all about AI products that run on the cloud. Artificial Intelligence as a Service (AIaaS) is a third-party service that outsources artificial intelligence (AI). It's all about AI products that run on the cloud. AI-as-a-Services can be observed as a part of AI services.
Pre-built AI capabilities, Cognitive search, Custom AI development, and so on are some of the sub-categories of AI as a service. Some examples of artificial intelligence as a service are listed below.

Chatbots: Chatbots are the most frequent sort of AIaaS in the AI arena. Natural language processing (NLP) algorithms are used, which are capable of emulating human language patterns with responses.

Cognitive computing: We're seeing AI intervention in this industry to make things more sophisticated, as APIs make developers' life easier. NLP, knowledge mapping, facial recognition, and other AI-driven API possibilities include NLP, knowledge mapping, and facial recognition.

Last but not least the Machine Learning: Machine learning makes extensive use of big data. AI as a service frequently delivers machine learning frameworks that prevent the use of big data.