1How to Break Down Barriers to Enterprise IoT
2Challenges Lie at the Edge
The edge bridges an important and long-standing gap between information technology and operational technology, where the rich resources available in the cloud are not available directly. One of the greatest enterprise IT challenges will be seamlessly enabling and connecting the things that live on the edge of the network: PCs, handheld devices, automobiles, sensors, cameras and other information-gathering devices of many types.
3Identifying Things Within the Internet
4Discovering Things and the Data They Possess
5Managing Massive Amounts of Data
6Navigating Connectivity Outages
With dispersed IoT architectures, enterprise organizations may rely on a mix of WiFi, cellular, radio, satellite or others to connect their things. Enterprises will need to prepare for the likelihood of connectivity outages and manage with onsite storage. It will also be essential to determine when data loss is simply unacceptable.
7Integrating Existing Architecture Into New IoT Strategies
8Communicating With Things at the Edge
9Short-Term, Local Data Storage
At the operation or machinery level of things, data points will need to be sampled at sub-millisecond rates for data-change detection. In the past, this high-frequency data would be analyzed, acted on accordingly and thrown away. As we move to making this data available to IoT applications and IT support staff, we will require short-term storage to ensure it can be pushed to other parties when they are available.
10Shifting to a ‘Push’ Model
11The Power of the Cloud
To alleviate some of the preceding problems, IoT strategies and infrastructure should be focused on an edge-in funnel to a centralized but flexible cloud platform. The cloud and its multitudinous resources will make the required storage and processing power available to handle the zettabytes of data that will be collected, analyzed and archived.
12Getting Started: A Checklist
• Audit edge devices and infrastructure.
• Get the IT and OT departments talking—both the data and the people.
• Think about connectivity first—get data from operations to the cloud or on-premises enterprise applications.
• Determine key performance indicators for your IoT implementation.
• Measure, evaluate and pivot as necessary.
The IoT in the enterprise world will require both technologies and people that traditionally have been siloed to work together. The IoT holds great promise, but it requires interoperability—from people and machines—to be successful for the enterprise.