Chatbots: Hunting for Easter Eggs or Improving CX?
Chatbots have emerged as a great option for providing a 24/7 self-service solution to address a host of customer support requirements. They enable customers to get their questions answered in real-time and they free up support staff from having to field high volumes of repetitive inquiries. And with advances in artificial intelligence and machine learning, chatbots are becoming extremely effective at providing a cognitive and conversational experience that your customers will love.
As chatbot adoption has increased, various types have entered the market to address different requirements. For example, chatbots built for specific B2C or B2B support use cases, called transactional bots, are very different from those built for more wide-ranging applications, referred to as knowledge bots. This paper examines five key differences between these two chatbot types and their fit for addressing customer self-service needs.
https://d117h1jjiq768j.cloudfront.net/docs/default-source/default-document-library/transactional_chatbot_whitepaper.pdf?sfvrsn=5c4c67cf_0
Technical and Security Overview of Progress NativeChat
This whitepaper takes an in-depth look at NativeChat, providing a complete capabilities overview and technical details of NativeChat’s product architecture, product security and cloud infrastructure security.
You’ll explore topics ranging from the business benefits of NativeChat for customer self-service and related use cases, to a look at architecture features like natural language understanding and conversational intelligence, and security topics including Progress best practices.
https://d117h1jjiq768j.cloudfront.net/docs/default-source/nativechat/nativechat_security-overview671b519065a042f6bba315c472bc0e8d.pdf?sfvrsn=eaa51ecb_0