Re:Ask HN: Is anyone using Watson in their business?
by tqkxzugoaupvwqr on Wednesday October 11, 2017 @03:24PM
(#15452594)
Sounds like the perfect fit for machine learning. Let people continue classifying the input text, store the input text and classification, keep doing this for a while and you get a large training set. Regularly run ML on it and compare results. Switch to ML when its results are good enough.
The taxonomy basically determined the escalation process within the company. As an example, think about issues with a cell phone. "Sometimes my phone volume goes down automatically" isn't as critical as "Sometimes my phone gets really really hot in my pocket."
The Good: They felt Watson was doing a good job classifying the customer feedback. Overall, they felt they could rely on Watson and could defend using Watson instead of human raters in a legal situation.
The Bad: The amount of time/resource investment required to get it up and running had been way beyond what they initially expected. They also felt various parts of the system could have been more open (e.g. Watson's back end database) to inter-operate with downstream systems. They also were exploring if other solutions (e.g. Data Scientists + Python) could do this and had started to see positive results.