This post is a technical discussion on the future of chatbots. It compares various leading platforms and discusses trends in chatbot usage and development. One of the ideas is deprecating intents to makes it easier for chatbots to detect user intents.
Semantic search is when you use tools and knowledge to add information about the information you are storing. With the explosion of information, semantic tagging of information makes it possible to provide accurate answers to user questions. Our CMS solution adds semantic meaning to the information we store.
This post is a discussion and explanation of the future of Chatbots dialog possibilities. Today most chatbots match intents to inquiry, deprecating intents is when we can match the dialog directly to the database of information.
One can say that traditionally chabots or conversational AI agents, are constituted by a four pillar architecture. As seen here, there are two components; the NLU component and the Dialog Management…
Chatbots are changing our practices and one of the affected areas are mobile apps. Now chatbots won't entirely replace mobile apps but there are very compelling reasons why they will gain market share and why you should be paying attention.
NLP chatbots are the future of customer support. This post offers some useful statistics on customer support and the use a discussion of the various types of chatbots for customer support and their projected cost savings.
The Fulfillment feature in Dialogflow allows you to programmatically build powerful functions that can deliver dynamic content to your chatbots. This post is a great introduction.
We know that online search has been broken for a while with the ever increasing explosion of content. Content curation, with a conversational chat interface can solve many of the issues facing search today!