The App updates allows you to see in a single view all the failed user responses, trained and ignored responses. When training we show you context in the conversation where the NLP (Natural Language Processing) engine wasn’t able to detect a phrase, then correctly re-train it against the appropriate intent.
A common question asked by businesses looking to implement a Conversational AI or chatbot solution like Iris in their organization is, ‘where do I begin?’. But how to make this happen? Ensure it’s successful and does what you require from the beginning?
One of the best things about our close relationship with Twitter is the awesome civic projects that we get to work on. For the Australian election we were approached and asked if we could make a simple, easy to use experience to sit behind the @TwitterAU handle.
Writing less in business is generally much harder than writing more. Vision and mission statements, tag lines and legal documents are good examples. Today we are making a start and sharing our open Data Policy. It’s short to the point and, most importantly — understandable.
We may be getting a little ahead of ourselves sometimes and losing sight of why we embarked down this path of teaching machines to converse with us.
It’s most of the way through 2018, the landscape and tools for businesses to leverage automation and NLP (Natural Language Parsing) in their business messaging channels is maturing, making developing a ‘chatbot’ easier.