Artificial intelligence is regularly integrated into our daily activities. Considering that several day-to-day tasks are repeated, it’s handy to have an assistant to take care of them.
This is why Digital assistants are huge in the tech markets. Everyone has them. Apple has Siri, Amazon has Alexa, Google has Google Assistant, Microsoft has Cortana, and Samsung has Bixby.
This article aims to explore the role of data annotation in the evolution of virtual assistants in the world today.
Data annotation is defined as the process of familiarizing machines with data. This process can be likened to how humans label things for easy identification. Theoretically, a user can annotate any form of information. Therefore, even seemingly abstract concepts like semantics or sound or solid objects like text, images, or videos can be annotated.
The purpose of Data Annotation is to train machines to identify certain objects to form specific tasks – The computer needs to be instructed to make decisions, as it cannot process information as the brain does. The method used for annotation varies depending on the information a user intends to feed the machine.
Types of Data Annotation include
The term virtual assistant refers to independent contractors who take on administrative roles even though they are not present in the office. This role can be carried out by humans, although machines are taking over in many respects. Thanks to data annotation, machines can perform common virtual assistant roles like:
The scope of application of Data Annotation is limitless, with new ideas appearing on the horizon daily. With the advancement of technology, the horizon broadens for data annotation.
While growth is welcome in the spheres of virtual assistant technology, we must also keep ourselves abreast with the price of change and the risks that it portends. Data security threats top the list of these threats. However, as in the illustrious preeminence of William Faulkner.
“You cannot swim for new horizons until you dare to lose sight of the shore.”