📚 node [[four key principles of watson]]
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garden/KGBicheno/Artificial Intelligence/Watson AI Overview/Module 1 - How Watson AI works/Four key principles of Watson.md by @KGBicheno
Four key principles of Watson
Go back to [[Module 1 - Watson AI Overview]] or the [[Main AI Page]]
The four key princples of Watson as an image
- First, it comes pre-trained with industry-relevant content.
- The second is that, it remembers and understands user input. For example, your customer's having a conversation with Watson and Watson recognizes a new intent, Watson needs to answer that question and remember this conversation just as you would expect a human to remember.
- Third, it recommends. Watson assesses what is happening in these conversations and recommends places that may be strengthened by having other intents. When you provide a few example of questions, intents, and clarifying terms, entities. Watson Assistant can build a machine learning model to understand similar natural language requests from your users.
- The fourth principle is about protecting your data. It ensures that your data is used to train Watson for you and not for your competitors.
📖 stoas
- public document at doc.anagora.org/four-key-principles-of-watson
- video call at meet.jit.si/four-key-principles-of-watson
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