Chatbot Development With IBM Watson

DZone 's Guide to

Chatbot Development With IBM Watson

Chatbot has slowly permeated our lives and what was considered as a thing of luxury has become an essential element for businesses. With so many non-coding a...

· AI Zone ·
Free Resource

Chatbots have slowly permeated our lives, and what was once considered as a thing of luxury has become an essential element for businesses. With so many non-coding and coding chatbot builders available, why should you consider IBM Watson? How does it make your chatbot more capable and effective in delivering the intended service? 

Natural Language Processing

Adopting advanced natural language processing (NLP) capabilities, IBM Watson makes you chatbot capable of understanding human intent and needs. Thus, your chatbot can deliver a response to queries like a human. What are the techniques involved in Watson NLP that a chatbot developer should know to build an AI chatbot?

According to IBM, more than 100 different techniques contribute to the development of conversational skills. So what does your chatbot do to be more like a human assistant?

  • Speech recognition
  • Speech segmentation
  • Morphological segmentation
  • Part-of-speech tagging
  • Parsing
  • Sentence breaking
  • Word segmentation
  • Terminology extraction
  • Information retrieval

Information is dispersed across different silos in a business ecosystem. A part of it can be with sales, a part of billing, a part of customer service, and so on. Even in a single process or operation, the data or information is managed or stored with different applications or software. The chatbot you build must be able to connect with different operations and their integral software or app, which can be cloud-based, as well. Watson empowers your chatbot to connect with them and collect the exact information matching the queries. And don't forget the role of the chatbot development services provider. The provider must make use of advanced chatbot programming languages like Python, Java, or PHP to ensure that the front-end and back-end of the chatbot connect seamlessly.

Knowledge Representation

Watson helps you build a conversational design that will engage your audience in the best possible way. Knowledge representation is similar to getting interviewed; your chatbot is the interviewee and the audience is the interviewer. Sometimes, it can be vice versa. So the way your chatbot responds or questions will decide the quality of user-engagement and, hence, the accomplishment of the goals.

Automated Reasoning

IBM Watson has powerful reasoning skills. It can interpret and decipher not just the language but also its hidden intent. Automated reasoning helps your chatbot to respond queries contextually and in a faster way, empowering the business to respond volumes of queries spontaneously and genuinely.

Machine Learning Technologies

To make your chatbot a successful business entity, the machine has to learn from data. Thankfully, IBM Watson uses advanced machine learning technologies to make logical predictions and can respond well to your audience. It derives artificial intelligence with pattern recognition and computational learning theory.

The Bottom Line

IBM Watson has everything that you need to build a chatbot that can "see," "hear," "read," "talk," "taste," "understand," "reason," "interpret," "learn," and "recommend." All that is required is to properly align the built-in technologies following standard practices. The better an AI chatbot developer understands and connects them like blocks in a puzzle game, the more he or she scores — and that ultimately reflects the wisdom of your chatbot.

ai, blp, bot development, conversational app, ibm watson, machine learning

Published at DZone with permission of Saroj Kumar , DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}