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That gave me a flashback to the early 2000s AIML chatbot craze. "What, you have an online store and no customer chatbot? What are you doing?!"

• nerdponx 7y ago
  Flipside is that this ML (whether you consider it AI or not) really is delivering huge value to the businesses that deploy them.
  • otabdeveloper4 7y ago
    Not really. Today's ML is really good at speech and image recogniziton, which makes for some very eye-popping layman demos. Whereas what businesses really want is time series prediction, and modern ML really sucks balls at solving this problem.
    • nerdponx 7y ago
      Deep learning or machine learning? I agree on the former, and quite strongly disagree on the latter, even if it means redefining ML to be dressed-up statistics.
      • otabdeveloper4 7y ago
        Forecasting in 2019 is still using techniques from 1950. You can call that "machine learning", but only if you really want to make people confused by marketing speak.