I was curious to know what was meant by "small data". From what I understand it goes something like: * most often, only recent data is useful, * single computers are enough to deal with the volumes of such recent data, * local development is better for this (since individual computers are 100 times more powerful than when "big data" hype/trend emerged).
It is mentioned that the firm already uses location data in connection with billable hours (verifying/approving the billable hours, I'm guessing). Again, no mention of how/what location data is collected.
It is mentioned that EY does something similar (office attendance tracking) using swipe card data.
Summary: "Plan with AI" then offered me a timetable that tried to ensure I get to watch all the chosen films over the week, with no screening time conflicts.
Longer walk-through:
Took an initial 10 seconds to figure out what I should be doing. The confusion happened because all the films were selected by default and therefore the "Plan with AI" button did not do anything.
But it told me in the tooltip/infobox "select 12 films or less". Good. But wasn't clear how do I change the selection individually, or even the fact that all films were selected by default.
Tried the "Unselect all". Then it all clicked.Randomly selected around 6 films. Saw on the calendar that the same film has repeat screenings on multiple days.
"Plan with AI" then offered me a timetable that tried to ensure I get to watch all the chosen films over the week, with no screening time conflicts. There may be edge cases I'm not aware of, but overall, this was impressive to me.
"Planning" really feels like an area where AI can offer so much of meaning and value.
Suggestion: How about either enabling "unselect all" by default, or limit default selection to 12 random films.
Curiosity question: How did you arrive at the number limit 12?
What business and government don't point out in their endless STEM promotion is that the average STEM career has about the same longevity as Major League Baseball --- without the high salaries.
For roughly half the members of any STEM graduating class in the USA, their STEM career ends with college. 50% never succeed in getting a real STEM job.
www.bls.gov/opub/mlr/2015/article/stem-crisis-or-stem
Excerpts from it:
> Our central question is whether there is a “STEM crisis” or a “STEM surplus.” The answer is that both exist. Our analysis yields the following findings:
The STEM labor market is heterogeneous. There are both shortages and surpluses of STEM workers, depending on the particular job market segment.
Also, at least a preview of one week's newsletter would be appreciated.
They, too, focus on the collaborative, 'similar-to-git-workflow', and versioned approach towards documentation.
Happy to see variety in the 'docs' tools area, and really appreciate it being FOSS. Looking forward to trying out Kalmia on some project soon.
That's like saying that after 9/11 when all flights were grounded and you, as a New Yorker, weren't "stranded" in London because, hey, you could always row a boat back. It's such a weird and meaningless semantic defense.
Why are you defending Boeing here?