Four key principles of Watson

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The four key princples of Watson as an image

1. First, it comes pre-trained with industry-relevant content.
2. 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.
3. 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.
4. 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.