DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

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...

Saroj Kumar user avatar by
Saroj Kumar
·
Jan. 23, 18 · Opinion
Like (1)
Save
Tweet
Share
4.24K Views

Join the DZone community and get the full member experience.

Join For Free

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.

Chatbot

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

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • Deploying Java Serverless Functions as AWS Lambda
  • Top 12 Technical Skills Every Software Tester Must Have
  • The Future of Cloud Engineering Evolves
  • Cloud-Native Application Networking

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: