In today's world, Artificial Intelligent (AI) has become prevalent in many areas, including content creation and business operations. This trend has been growing rapidly and is driven by the desire for faster and more efficient service from companies, as demanded by consumers. One such technology that has emerged is chatbots, which can quickly generate answers to customer inquiries.
Have you ever wondered, how does an AI-powered chatbot work? In a nutshell, this is how it works in one picture:
Machine Learning and Deep Learning are two buzzwords that are frequently used interchangeably, despite the fact that they are not the same thing. Deep Learning is a component of Machine Learning. Deep Learning is a subset of machine learning that can learn and make intelligent decisions on its own, whereas Machine Learning allows us to understand, parse, learn, and make informed decisions based on data.
Natural Language Processing (NLP) is a branch of Artificial Intelligence that deals with natural language interactions between computers and humans. Its goal is to enable computers to understand and respond in the same way that humans do. Because chatbot is a two-way conversation in which both parties are expecting a response, AI also supports Predictive Analysis, which allows us to analyse data and predict how customers will respond based on our most recent response. And lastly, understanding the emotional tone of a text is critical because we want to ensure that we deliver the response correctly, which allows us to perform Sentiment Analysis.
What makes it appealing for business? Of course, a better conversation experience with customers at scale:
At ADA, we offer omnichannel messaging solutions through ADA’s Business Messaging Platform where you can integrate all your conversational channels such as WhatsApp, LINE and more in one platform. Our Business Messaging Platform is powered by Haptik’s advanced AI/NLP engine to enable AI-powered chatbot solutions.