I was reminded of this quote when I visited one of the demo
booths at IOD 2013 and found a fascinating example of the application of
artificial intelligence to analytics -- so-called "proactive
analytics." Essentially, the app
combs through past data to see if it's consistent, or whether some of it is
possibly wrong, and then comes up with a suggested change to the data or
metadata (as in, a change to one's model of the customer) to fit the amended
data.
To me, this is one of the good things about artificial
intelligence, as opposed to the "knowledge-base" approach that is somehow
supposed to produce human-equivalent intelligence (and about which I have
always been a bit skeptical). One of the
key original insights of AI was to divide reasoning into logical (where there
is an adequate base of facts to establish a good rule about what to do) and
intuitive (where facts are incomplete or unclear, so you have to muddle through
to a rule) processes. In intuitive situations, AI found, the quickest way to a
rule that gets closest to the underlying reality is to focus on the data that
didn't fit, rather than focusing on data that seems to confirm an initial
hypothesis. And so, proactive analytics
apparently targets this highly useful AI insight, focusing on what doesn't fit
and thereby iteratively coming up with a much better model of the customer or the
process.
All this is abstract; but then the demo person came up with
an example that every company should drool over; combing through customer records and detect
deceased, moved or terminated customers.
And to me as a customer, this holds out the real possibility that I will
no longer get sales literature about an estate-property-sale LLC long since
terminated, letters addressed to "Wayne Keywochew, Aberdeen Group" (a
stint that ended 9 years ago), or endless magazine subscription offers because
of something I once ordered. Multiply me
by millions, and you have an incredible upgrade in your customer relations.
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