The IoT market is an ill-defined, nebulous space. While the industry refers to it as the IoT, it isn’t a single product. In reality, the IoT refers to numerous use cases and products that vary across different industries. For example, a mining company and a hospital can both benefit from predictive maintenance, but the problems and implementations are completely different.
A successful IoT implementation requires a coordinated technology and business process transformation strategy. The business process improvement strategy is often overlooked as the technology teams jump into the nuts and bolts of deploying a set of IoT tools. Technology-first thinking is precisely what leads to failed implementations. Companies, fearing they’ll be left behind, have rushed to purchase various IoT components — such as sensors, hubs, and platforms–before the business has defined the problem it’s trying to solve. Leaders in the space have sought out use cases where IoT will improve employee productivity, deliver operational efficiencies and enable new revenue opportunities.
The IoT requires more than one technology change
Once a company defines a set of potential business outcomes, the real fun begins. IoT deployments are anything but simple. Information and operational technology leaders face a morass of vendors, products and integration issues. At a minimum, an IoT solution requires multiple layers that include:
- Connected devices and communications. The IoT vision requires connecting existing and new equipment with sensors. Additionally, there are many wireless connectivity options such as 3G, WiFI, BlueTooth and LPWAN. A complete list of IoT protocols can be found here. Most organizations get hung up on this first stage of defining the proper devices and connectivity options.
- A set of connection platform tools. The first iteration of IoT platform solutions was a hub that could connect to data from multiple devices that used different protocols to communicate. Today a broad set of IoT software platforms solutions exist that include items such as device management that focus on configuring, provisioning, troubleshooting and operating the endpoint devices. Like mobile device management, IoT device management supports monitoring, testing, updating software, and troubleshooting connected devices. Wired and wireless connection management must be part of this suite. API management is necessary for connecting to device data and linking this data to applications and system of record/engagement. This layer continues to evolve rapidly.
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