Gone are the days where businesses needed chatbots just to converse. With advancements in AI and its integration with chatbot technology, businesses are expecting chatbots to drive business results at minimal costs. Implementing chatbots has never been more relevant than it is today. The ecosystem is evolving in such a way that it is imperative that businesses have a chatbot presence. Based on the usability and context of business operations the architecture as well as elements involved in building a chatbot change dramatically.

To build chatbots that are explicit to business requirements and context, this guide will help you understand:

• How to approach chatbot development
• Various chatbot development platforms
• The architecture of the conversational chatbot
• Deciding on which NLP engine to use and architecture of NLP engines
• Significance of Recurrent Neural Networks (RNN) in powering NLP
• How conversation engines make chatbots become context-aware
• Factors to consider in making chatbot live
• How to ensure continuous improvement for you Chatbot
• List of metrics that enable continually monitor bot’s success