You don't need
data about a lot of things (at least at first), but some basic metrics are essential.
Not exact matches
The IBM Watson system that played Jeopardy! used a machine - learning - based system that took a
lot of data that existed in the world —
things like Wikipedia and so on — and used that
data to learn how to answer questions
about the real world.
Fossil bones and stone tools can tell us a
lot about human evolution, but certain dynamic behaviours
of our fossil ancestors —
things like how they moved and how individuals interacted with one another — are incredibly difficult to deduce from these traditional forms
of paleoanthropological
data.
One way to start thinking
about this is by recognizing that «Big
Data» and «lots of data» are not the same th
Data» and «
lots of data» are not the same th
data» are not the same
thing.
This is great
data supporting a
lot of things we already know
about web communities - more people coming in means more people staying.
This is a hard
thing for video games to replicate because they track so much
data that they take a
lot of the guesswork out
of your calculations — and if a game doesn't track useful information for me, I'm probably going to complain
about how intentionally obtuse and user unfriendly it's being.
Any time I am interested in these
things in and around a city I start with the City
Data web site which has a
LOT of information
about a city.
It seems to me that a
lot of data has the potential to throw a
lot of things into the bananaland, so I'm curious
about what does this
thing to the models.
I mean, basically this was sort
of like a business and enterprise look at Cloud that she did, but there were a couple
of things I thought were interesting there and one is, there is a kind
of shift as there is the acceptance
of use
of the Cloud too, away from their focus on
data security and cost that we used to do, and I think a
lot of the law firms do to more
of a concerned
about am I locked into a vendor, if I go to Cloud, how do I get my
data out?
One
thing that seems crystal clear, and a
lot of people will be excited
about, is Rubin's focus on privacy, as the Essential Home is designed to «directly talk to your devices over your in - home network as much as possible in order to limit sending
data to the cloud.»
Big
data isn't just how people interact with
lots of information, but
about how computers can process vastly more
data to do new
things.»