BlogTechnologyARTIFICIAL INTELLIGENCE AS-A-SERVICE

ARTIFICIAL INTELLIGENCE AS-A-SERVICE

What is Artificial Intelligence as a Service (AIaaS) ? 

Artificial Intelligence as a Service (AIaaS) is a cloud-based service that outsources AI to enable individuals and businesses to explore and scale AI techniques at a minimal cost and risk. Artificial Intelligence as a Service refers to out-of-box AI services rendered by companies to potential subscribers. AIaaS provides an ‘as a service’ package that a third-party provider hosts.

Types of AIaaS

Different AI provider platforms offer several styles of machine learning and AI. These variations can be suited to an organization’s AI needs, because they need to evaluate features and pricing to see what works for them. Cloud AI service providers can offer the specialized hardware needed for some AI tasks, such as GPU-based processing for intensive workloads.

The following are some popular types of AIaaS:

Bots :  Bots and chatbots are widely employed across all industries. They use NLP to mimic real human speech and are generally used in customer service to provide relevant answers to customers’ most frequent queries. A study conducted by AI provider Tidio found that 62% of consumers would rather use a customer service chatbot than wait for human agents to respond to their inquiries.

Machine learning. Businesses use ML to investigate and identify trends in their data, make predictions and learn as they go. This data processing technique is intended to run with little or no human intervention, empowering businesses to employ AIaaS without specialist technical skills. ML comes in a variety of options, from pretrained models to models designed for a particular use case.

Application programming interfaces (APIs) :  An API is a software bridge that enables communication between two applications. An example of this is a third-party airline booking website 

Data labeling :  Data labeling is the process of annotating huge amounts of data to efficiently arrange it. It has numerous uses, such as guaranteeing data quality, categorizing data according to size and creating AI. The data is labeled using human-in-the-loop machine learning, which enables both humans and machines to interact continuously and makes it easy for AI to evaluate the data in the future.

Advantages of AIaaS

  • Cost reduction. Most definitely the major advantage of AI as a service is that it allows to cut down the cost of development of an AI solution significantly. Besides, the cost is transparent, so you’ll only be paying for what you require.

  • Speed. Not only comparatively cheap, but AIaaS also offers to cut down the time spent on your AI project. It’s out-of-the-box

  • Simplicity. You don’t even need to learn how to code. The platform will do the hard lifting for you! Besides, AIaaS eliminates the demand of hiring experts and developing a complex multi-level infrastructure.

  • Customization. Whatever your goal is, AIaaS can be fine-tuned to correspond to your business, data, or project’s needs.

  • Scalability. A lot of businesses tend to forget to make the model scalable when designing it. Third-party solutions don’t forget to include this important feature in the design. This way, when your business grows and starts demanding more from your model, it’s ready to deliver.


Uses of AIaas

  • Natural Language Processing

  • Computer Vision

  • Machine Learning

  • Speech Recognition

Providers of AIaaS

The following are some popular vendor platforms that offer AIaaS services:

  • Amazon Web Services

  • Google AI

  • Microsoft Azure AI

  • IBM Watson

  • ServiceNow

  • SAS

  • LivePerson



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