Chatbots are being widely used by businesses. But what does it take to build a truly advanced and enterprise-grade chatbot? Let’s explore!
An excellent Conversational UX is key to drive adoption and helps users reach their goal in the shortest time with maximum end-user experience. It enables bots to conduct human-like conversations.
Machine learning algorithms enable chatbots to learn from previous conversations, and deliver better responses in the future.
NLP is a technological process that allows chatbots to understand the meaning behind users’ natural language inputs and then deliver relevant responses.
The technology with which chatbots can analyze users’ input text or voice and understand their emotions and gauge their mood.
Multilingual chatbots are capable of understanding and conversing in different languages. This ability enables bots to cater to a wide range of audience across countries.
Chatbot platforms need to have an administration module in which you can track the bot’s performance, do maintenance activities and train the bot.
By integrating with back-office RPA bots, chatbots can capture information from legacy systems that lack modern APIs and perform actions on behalf of users.
The next-generation of enterprise chatbots are voice-based. Voice bots relieve users from having to use their keyboard or mouse to send messages.
Using cognitive abstraction, chatbot platforms can leverage any AI service available today and will scale for future services.
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