By analyzing real-time data, AI can foresee maintenance needs, reduce downtime and extend the life of critical machinery. 2. Operational Efficiency: AI and edge computing work in tandem with IIoT ...

The insights gained from big data analytics and the Industrial Internet of Things (IIoT) to drive greater manufacturing intelligence and operations performance is considered essential by 68% of ...

To answer these kinds of questions, any IIoT or Big Data Analytics system needs to be built from the ground up to focus on the product and not just on the machines. According to a recent study ...

What Is a Smart Factory? Smart factories fall under the umbrella of the Fourth Industrial Revolution, also referred to as Industry 4.0. As noted by Forbes, the first iteration focused on mechanization ...

A new generation of edge-capable components are best suited to interface with the growing number of IIoT data sources and can offer many benefits for processing and analyzing this data closer to the ...

With Microsoft Azure, AspenTech is giving customers the option and advantages of low-cost, scalable edge computing and data analytics in the cloud as well as on-premises.

Applying analytics tools in the same engineering platform as the controller, motion control, and HMI can lead to more successful Internet of Things implementations and boost competitive advantages.

However, to maximize the advantages of this revolution, industries must be equipped to navigate the potential pitfalls. By striking a balance between the power surge of IIoT integration and the ...

For example, consider a pneumatic fieldbus valve manifold such as the ASCO Numatics G3 platform, which extends intelligence to perform a variety of IIoT data analytics locally—at the device ...

The Industrial Internet of Things (IIoT) revolution is no longer coming -- it's here. While the regular IoT brings connectivity to consumer gadgets like smartphones, wearables, and appliances, the ...