Скачать или смотреть AI-driven (NLP) versus Directed Chatbots (Conversational User Interfaces)

NLP-based chatbots are a form of artificial intelligence. They can create more human-like conversations on a variety of topics.

They converse with humans on a semi-personal level. They use deep learning and voice recognition technologies to understand what you're saying. As a result, the outcomes can sometimes be less than satisfactory. Ironically, many users need to type to have conversations because the chatbots can't actually talk.

Directed Chatbots Take the User on a Guided tour

Rule-based Chatbots are low-maintenance because they don't require that you have a developer working with them. They can be great for organizations who want to streamline their customer service process and not pay someone to write the content. Chatbots that are designed for a specific industry might be cheaper and easier to manage compared to chatbots that engineers or programmers made. That's why companies with less tech know-how can also scale faster than before.

Which Is Best Suited for What You Want It To Do?

In this video, we'll explore the pros and cons of each approach. We'll also investigate how a business analyst and individuals who define digital solutions are still essential for defining, designing, and implementing either of these modern forms of human-machine interaction. #chatbot #businessanalyst #artificialintelligence

Create your own chatbot without coding, check out our Udemy course: How to Design, Build, Deploy, and Manage Directed Chatbots (https://bit.ly/landbotChatbots), and I'll see you in lesson 1!
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00:06 CUI for Natural Language Understanding (NLU/AI) Chatbots
04:59 Chatbot User Interfaces for Rule-based or Directed Bots