IBM Watson Assistant Review

IBM Watson Assistant is a cloud-based, chatbot solution that provides features such as intent recognition, natural language processing, query suggestions and automated responses. Using the visual builder, companies can take advantage of the ability to train an artificial intelligence system without code.
Analytics capabilities within IBM Watson Assistant also allow companies to track metrics and KPIs related to their chatbot’s service. To ensure the security of enterprise data, the solution offers tools such as access control, encryption at rest and penetration testing.

IBM WATSON ASSISTANT – TUTORIAL

IBM WATSON ASSISTANT – FEATURES

• Understands any request: best-in-class NLP can be quickly trained to understand a new topic in any language with only a handful of example sentences.
• Adapts to your domain: proprietary deep learning and Auto AI models automatically detect and adapt to your business’ domain based on the sentences you provide as training data.
• Knows when not to answer: irrelevance detection models help the system know when to “buzz-in” confidently and when to pass things off to help documents or to a human agent.
• Recognizes plain-language responses: powerful entity detection models can recognize plain-language responses from your customers like synonyms, dates, times, numbers and more.
• Handles natural conversation without breaking: gracefully handle vague requests, topic changes, misspellings, and misunderstandings during a customer interaction without any additional setup.
• Launch a chatbot with no coding skills: building chatbots has never been easier. Train with only a few questions or use our chatbot templates today.
• Downsize your support teams: personalization enables companies to create consistent customer experiences across the globe in a split second.
• Enable rapid iteration with easy-to-use interfaces: the low-code and no-code capabilities promote agile workflows, encouraging dialogue experimentation for the ideal support experience.
• Go beyond intent-based dialogue: the seamless integrations and extensions allow users to complete different tasks within our interface easily.
• Reduce errors with preview mode: you can preview the conversation as your users will experience it — with advanced debugging capabilities to fix problems quickly.
• Goal completion rate (GCR): easily and completely understand the success of your chatbot by seeing how often users complete the streams of actions you have created. This important metric lets you know whether the content you have created enables successful completion of customer requests and meets KPIs, from the virtual agent or intentional transfer to a live agent.