• Log In
  • Sign Up
    • Although my understanding of data science is very limited, I hold a deep curiosity on how the use of data influences the human connection. My biggest concerns being how data is used by governments and business to influence the will of the users. Although there are countless success stories on the use of data to make our lives better there is a fundamental concern I see with a lack of user data rights and the manipulation of data through media outlets. Even though we have an incredible toolset before us I still believe we are a caveman trying to taste a burning branch struck by lightning. It looks awesome but do we really know what it is capable of?

      This notion of using data as a sword to disrupt industry is beginning to reveal itself a merely a means to monetize interests of users to build other industries off of. The hands wielding the sword grateful for such a favorable environment to sow their influence over users hungry for the carrot of convenience. So what does all of this have to do with your post? My contribution to this panel is to ask If you are to be a steward of the technology consider how the tech will impact the end user and possibly how your contribution will not only lead to the application of it but to possibly understanding the implications of it. Ultimately these technologies are not being built by huge corporations, they are being built by individuals who could eventually move the cheese to use cases favorable to the interests of the users.

      Thank you for inviting me to this panel Stephen. I have enjoyed reading the thread!!

    • But where I think AI/ML/Big Data will largely fall a bit short is at the individual level. People are fickle. Statistically, what I did yesterday may have a strong influence on what I did today, but no AI or Big Data process will be able to monitor all of my behaviors and determine that I might wake up tomorrow and decide "today is the day that I am going to start doing X" or "ok... I'm kind of tired of binge watching netflix" or whatever.

      Have you seen this ⬇️? It’s more than five years old, and I suspect the algorithms have improved significantly since then.

      They may not be able to predict when you’ll buy something, but there seems to be more and more data available to predict what you will buy.