Building Big Data Infrastructure


>>Mike Lipps: The explosion of electronically
stored information in this country lends itself very naturally to data science because it
becomes the differentiator. Three and half billion dollars is just the
legal industry. If you think about stepping back from that
out into a variety of different industries, I couldn’t even begin to imagine how big
the market is for data science.>>Mirsad Hadzikadic, PhD: Every business
today is a technology business and by definition is a data business. Data has become the new currency. What can we do about it? Any and every device now is computer based. We can measure more things than we ever have
been able to.>>Shannon Schlueter, PhD: Myself as an example:
I get up in the morning, and I hit my alarm clock, stand on my scale, and get in my car,
and I take off. Pick the breakfast up, use a credit card on
it, take the Fitbit, drop my kids off at school, put something on Facebook. Take that and multiply it by the population
and you can see how we’re creating a significant amount of data. The point behind all of it is taking the information
that you can collect and that you can store and transforming that into business value.>>Mirsad Hadzikadic, PhD: The ROI project
that we received the funding for basically says we collect data from any and all sources. Then anybody from anyplace can access the
data sets that are residing not in one place, but at these diverse institutions and in this
case UNC Charlotte, NC State, and RENCI institution at Chapel Hill.>>Shannon Schlueter, PhD: All of our individual
storage locations are now accessible from one to the other on the cloud-based infrastructure. We want people to be able to access the data
sets; we want them to able to store their own data sets and collections. The researchers are now able to start using
and taking advantage of that to perform the analytics on the same computers as where the
data lives.>>Mirsad Hadzikadic, PhD: The second element
is that we want to encourage projects that use the data that we collect and the platform
that we put in place that will help companies reduce risk that they are exposed to, so that
we are more responsive to their needs.>>Shannon Schlueter, PhD: We see that there
is an extreme lack of data scientists out there. One of the ways we’ve started addressing
that is to use these particular projects as on the job training, what we consider internship
projects.>>Mirsad Hadzikadic, PhD: For example, in
the marketplace this ability to process data allows us to look at millions of credit card
transactions and understand which ones are potentially fraudulent. We can look at tweets and see where the sentiment
of the population is on any one subject. Now we can track the movement of epidemics
on a minute by minute basis. How do we minimize our risk? You can do that with data.>>Shannon Schlueter, PhD: So we’ve got
the infrastructure, we’ve trained the students, we’re doing the interesting projects, and
so now when we start to collaborate with the industries and the companies we have the resources
that they need for that.>>Mark Armstrong: This gives companies in
North Carolina a leg up because they get to understand how to do big data in partnership
with us, and that’s all because of the ROI funds.>>Mike Lipps: There are companies like mine
who have come to this area because of that reputation of being an up and coming technology
and data science hub.>>Mirsad Hadzikadic, PhD: In North Carolina
right now, with these investments, is at the forefront, but it has to define that as its
priority from now on.>>Mark Armstrong: North Carolina has this
opportunity at a high level to become one of those locations that, when people think
of “where do I go to do big data analytics,” let’s go to North Carolina.

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