With the growing popularity of digital assistants, consumers want the ability to have natural conversations with machines. But training A.I. systems require a tremendous amount of data.
Natural language generation (NLG) systems automatically detect, parse, visualize and then narrate key data. Google’s Cloud Natural Language API, the Azure Text-to-Speech API, IBM Watson Text-to-Speech, Amazon Polly and Baidu’s Text-to-Speech system are all advancing the field of NLG.
Companies like Arria NLG, Narrative Science and Automated Insights have products that help non-data science people make better sense of what’s happening within their organizations.
One possibility for NLG: developing a system that can use plain language to explain itself, and the decisions it makes, to others.
This trend is part of our section on Artificial Intelligence. Other trends in this section include:
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