Welcome back! Let me just make a quick announcement before I dive into big data. As some of you might know, in 2 weeks,LiNC (Lithium Network Conference) will take place at The Westin St. Franc...
Updated 8 months ago
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Hello Andrew,
Thx for the discussion.
If the feedback system records these unexpected events, then there is no need to model and predict them. There are several reasons for that.
First is simple… Unexpected events are by definition unpredictable. If they are predictable, then they are not unexpected anymore. ;-)
Second, if the feedback system records these events continuously with the rest of the data stream from the person’s life, then it pretty much works like a GPS. Think of these unexpected events as missing a turn or missing an exist. Your GPS can’t predict that. But once that happens, your GPS can detect that is something unexpected and significantly takes you off course, then it re-routes it to the destination from where you are.
So as long as my goal didn’t change, then the predictive system will keep on working on the background prescribing me the best course of actions to take me closer to my goal.
Of course, if I change my objective or goal, that is a different story. I will have to tell the system that I no longer want to retire in French country side when I am 68, rather I like to just retire in California with my families when I am 65. Then the prescriptive algorithms can automatically updates the courses of actions to best direct me to the new goals.
These ambient sensing systems that continuously collect data about our environment is very powerful.
Great discussion.
See you again next time.