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tags: ai
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# IBM watson ai

* [link](https://www.ibm.com/products/watson-assistant/artificial-intelligence?utm_content=SRCWW&p1=Search&p4=43700075171668102&p5=p&gclid=Cj0KCQjw6cKiBhD5ARIsAKXUdyah-OlCryYUg0K5Zar5Hd-vfRe4QqCK2kHtMRL1nqNQhrmH-M-g0yIaAq7QEALw_wcB&gclsrc=aw.ds)

## description
* Generic description:
* IBM Watson Assistant is built on deep learning, machine learning, and natural language processing (NLP) models to understand questions, find or search for the best answers, and complete the user’s intended action through conversational AI. Watson also uses intent classification and entity recognition to better understand customers in context and transfer them to a human agent when needed.
* User notes:

## tutorials

## prompting tips

## examples of creations

## pedagogical use-case