A Reality Check on Today’s Chatbots and Voice Applications
A majority of Chatbots are not actually intelligent as they are built basically on a decision-tree logic which consists of an “if this, then that” logic. Almost all the response given by the bot depends on specific keywords identified in the user's input. Though there are many companies attempting to implement functional Artificial Intelligence into their bots a large majority of what we have experienced is not true AI.
Natural Language Processing, Natural Language Understanding, Natural Language Generation and Voice Recognition are the four terms used interchangeably within the world of chatbots. At Macrosoft, we are big evangelists of Microsoft’s Language Understanding Intelligence Service (LUIS) that uses pre-built, world-class models to recognize known entities. We use LUIS to create models of our chatbot application to better understand a user’s intents. LUIS has become a standard among a majority of chatbot developers, supported by a large and growing LUIS community, which is a big advantage for us.
On a whole, the decision-tree types of bots are as intelligent as the visionaries who created it to anticipate all potential user use cases and inputs. Companies are seriously attempting to add AI into the chatbots with linguistic and natural language learning capabilities to enhance user experience.
