A virtual assistant uses advanced Artificial Intelligence (AI), RPA, natural language processing, and machine learning to extract information and complex data from conversations to understand them and process them accordingly.
By combining information from the past, the algorithms are able to create data models that recognize behavioral patterns and adapt these based on any additional data. By constantly adding new data about the history, preferences, and other user information, the virtual assistant can answer complex questions, make recommendations and predictions, and even start a conversation.
How does an AI virtual assistant work?
Virtual assistants are like the highest level of Robotic Automation. A virtual assistant uses data from multiple sources and places this in context, learning from each interaction. Using advanced language processing, the virtual assistant can process everything that is said or typed and is able to use that to formulate a correct answer. More advanced virtual assistants can process multiple tasks and complex questions using AI and machine learning. They gain insight into one's preferences based on previous choices and data. This way, the interaction with the virtual assistant becomes a personalized experience that meets an individual's needs.
