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Don't love your tone, but I agree. I have been working in what was called predictive analytics for 16 years. I've done tons of projects, for tons of companies,
by AndyNemmity 9y ago
Don't love your tone, but I agree. I have been working in what was called predictive analytics for 16 years.
I've done tons of projects, for tons of companies, and this sort of refrain from people is pretty common when they don't have experience in the field. They think of it like some fad that doesn't make a lick of sense outside of a C-level discussion.
But the reality is, predictive analytics is extremely powerful. One of the last projects I did was to save Trains from derailing. Another was to improve crop yield of a farming company by using satellite imagery to determine when a field was most needed to be harvested. Tons of other examples.
To even explain the particular use cases would take quite awhile because they are domain specific issues. Cron isn't solving these problems.
What the person is really saying is, I don't have experience in these topics, what can be so hard about them?
The same style for people who arm chair sports, or politics, or programming, or any other topic. It all seems easy when you don't know the details.
- didibus 9y agoDidn't you use expert systems 10 years ago for those? Rules running of SQL queries, which you crafted yourself or through the help of a domain expert? I think its fare to claim that companies who skipped that process might want to consider it first, as a cheaper way to start with predictive analytics. But, I'm not sure, I am actually intrigued, what was the techniques used before ML in that field otherwise?
- AndyNemmity 9y agocustom c++, pulling data from a db, if that's the SQL rules. Data scientists, plus domain experts.