Understanding the basic Conversational AI concepts with Dialogflow by Nick Pollard They can also retrieve and repackage information with a speed that humans never could. They can be thought of as digital assistants — like Siri or Alexa — that are better at understanding what you are looking for and giving it to you. This adds a whole lot of premade intents to very simple popular inputs like “whats up” or “I hate you” and the dialogflow bot responds to them with a set of random answers. You can just turn this on and you also have the option to customise some of the answers. Even though Agent Assist is an extension of the Dialogflow ES API, you can use a Dialogflow CX agent type as the virtual agent for Agent Assist. If you are only using a Dialogflow virtual agent, you can ignore these extensions. In the realm of…

Artificial intelligence innovations are helping customers increase customer satisfaction and reduce support costs. Since Conversational AI is still a pretty new concept to businesses, there’s a good chance you’ll run into some roadblocks along the way. For example, you might have issues if the Conversational AI is not fully integrated into your tech stack. It is made up of a set of algorithms, features, and data sets that continuously improve themselves with experience. These tools can help recruiters automate repetitive processes in recruiting. It has been proven that conversational AI can reduce HR administrative costs by 30% by decreasing dependency on HR representatives to solve redundant queries. With these features, conversational AI can understand typos and grammatical mistakes – allowing conversing with an AI chatbot to feel more human-like. Interested in a Conversational AI Platform For Support? Conversational AI is a collection of all bots that use Natural Language Processing…