- I think part of it comes down to when you think
about people often times there's the ability to
get lost in data either in kind of the analysis of data
or certain subsets of people that get lost
through just the type of information
you're potentially trying to extract from
one data set.
So for me, it's in part thinking about the
bigger picture and where we're going.
And to relate this back I guess to some extent,
AI consumes data and fundamental abilities
as we start to think about Artificial Intelligence
it's data is to Artificial Intelligence
as food is to people and so, giving you kind of this
additional layer of context by bringing together
disparate data sets I think that you have a better
capability to not leave people behind in that way
and to kind of really get to the crux of
what the data's saying as opposed to
taking one individual data set and saying that
that is the defacto truth.
This way you can kind of add to your
contextual layers as you bring in additional
sets of data along the way.
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