Industrial IoT: Extending Your Data Platform to the Edge

In the past, we believed everything would move to the cloud. However, time has shown us a different path. When building a data platform, it’s clear that extending to the edge, where data is created, is crucial.

🔒 Security First: Edge technology ensures robust security by leveraging ISO 95 Network Topology and Manufacturing Use cases. Segmenting your network into distinct zones protects critical data and prevents unauthorized access.

📊 Local Analytics: Processing data locally provides real-time insights, reduces latency, and enhances decision-making. Whether it’s predictive maintenance or quality control, action analytics empowers your operations.

💡 Optimized Connectivity: Reducing the number of connections to the cloud saves bandwidth and costs. By aggregating and filtering data at the edge, you send only the relevant information to the cloud, optimizing both bandwidth and energy use.

🏭 Use Cases: Imagine a factory where edge devices monitor production lines, detect anomalies, and optimize processes in real-time. Or a large wind farm where localized analytics enhance turbine performance and predictive maintenance improves efficiency.

Extending your data platform to the edge is no longer an option—it’s a necessity.