IBM launched its free Watson Trend mobile application, an implementation of its system of cognitive computing Watson that aims to understand what are the trendy gifts for the holiday season. At least for now it’s only available for iOS, perhaps an experiment that is part of the collaboration with Apple in various uses of Watson, and therefore can be downloaded from the Apple Store.
The Watson Trend app uses 10,000 sources of information across social media, blogs, forums, comments, ratings, reviews. The total of conversations and diverse opinions is estimated at tens of millions that get read and evaluated. That thanks to the Watson cognitive computing ability to understand natural language and its machine learning skills that allow it to identify trends in people’s wishes.
The IBM Watson Trend system can analyze such a large amount of data in a very short time so it can provide updated information every day on the trends related to various kinds of products. A score called Trend Score which goes from 0 to 100 is provided for content, context, and feelings based on the impact, which is the size of the conversations, and on the momentum, which is the level of growth of the conversations.
In the USA the Thanksgiving holiday is approaching and many people are looking for gifts. According to IBM, for the first time there will be more consumers who are going to use mobile devices than desktop computers to search for the best purchases. For this reason, mobile traffic should have a significant increase compared to the same period in last year.
IBM has provided some examples of trendy products recommended by Watson Trend on November 18. Among them there’s Star Wars Lego. Honestly, I didn’t need an artificial intelligence system to suspect that they could be a good gift. 😉
In the end, for IBM the Watson Trend app seems a way to test the possibilities of its cognitive computing system in a situation related to the desires of ordinary people. Understanding what people want is one of Watson’s purposes that can be implemented in various applications so we can expect many developments of this type.