If you think large enterprises are readily rolling out IoT solutions, think again. They are not, they should not. Find out why.
Sramana Mitra: Let’s start with introducing our audience to yourself as well as to the company.
Michael Martin: I’m the CTO and CIO at nfrastructure. nfrastructure is a technolgy services and solutions company. We help customers design, build, and operate infrastructure and application solutions from the core of their enterprise all the way out to the edge. We do a lot of technology services to support that mission— everything from networking, collaboration services, cloud, edge device services, IT service management, and a variety of services that are aligned with helping an organization connect their technology to their users in support of their business.
Sramana Mitra: So this discussion is about Internet of Things. What do you do within that space?
Michael Martin: As a company that works from core to edge, we do a lot of work on the edge of the network. The IoT is absolutely exploding the edge. As a company that was founded in 1992, at that point in time, working on the edge involved PCs and printers. As we moved forward a decade or so, it started involving laptops and IP phones. Now as we move into the Internet of Things era, the edge includes sensors, actuators, and connected devices that typically had just been dumb devices that existed in a physical sense. Now, they’re getting connected at the edge, and that’s creating an amazing amount of opportunity for us as an integrator in that space.
Sramana Mitra: I’d like to understand from your portfolio of clients some of the most interesting use cases that you’ve seen in the domain of Internet of Things. It should be diverse verticals and diverse types of industries, problems, and workflows. Walk us through, maybe, three interesting use cases.
Michael Martin: To help organize it, every Internet of Things’ success goes through three major stages of evolution. The first is experimentation. You start by experimenting with an idea. The second stage operationalizing it, and then the third stage is deploying it at scale. We work with customers at each of those three stages. At the experiment stage, it’s all about moving quickly and working with the business to understand ways that technology could change a customer experience and could generate new data that has commercial value. They were really just trying to prototype things and work quickly.