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be coupled to your business strategy. But your approach
to analytics in driving decisions should be to view it as
decision analytics. Analytics gives you the vision to analyze the types of decisions you’ve made in the past and
whether or not they’ve been fruitful.
QYou just made a point that I think is fascinating—to make sure your
IT strategy is not in a silo serving itself
but reflects the goals of the company.
Let’s shift a bit to the broader topic of
technology. I know it is a passion of
yours. A lot has happened in the last
10 years, and a lot has changed. What
is your short list of some of the most
important or disruptive technologies
that have emerged in the supply chain
in the past decade?
AI think that we’re now embrac- ing artificial intelligence to the degree that we really
should. And a lot of times, we use the terms “artificial
intelligence” and “machine learning” interchangeably,
but the reality is, machine learning is a subset of artificial
intelligence, or AI. We used to talk about “hard AI” and
“soft AI.” Machine learning is that soft AI, where the
programs learn to do things that you never instructed
them to do.
I think we now have the computational power, we have
the storage capabilities, and we have more data coming,
so we can truly feed those appliances.
It’s what’s hot now, and I think that
is what is going to carry us for the
next 10 years. I think we are going to
get true insights because we are now
finally able to harness the power of
something that was created back in
the ’60s.
QWhat are some other technolo- gies that you think are going to
go from promise to application in the
next three to five years?
AI think we will see blockchain. I really do. A lot of people are
interested in blockchain. But when I say we’re going to
see promise with respect to that, I think we are going to
truly realize what it can and can’t do. I think we are also
going to realize where we should and where we shouldn’t
use it. To me, once we get that level of clarity, that is when
I think solutions start to become more tangible.
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“Analytics is not
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