Share, , Google Plus, Pinterest,


Posted in:

Innovation In IIoT Edge Computing Market

The challenge of IIoT is deciphering insights from raw data. Edge computing scales this deciphering effort, and combined with AI, enables expansion of these insights to truly ubiquitous applications.

IIoT Edge Computing revolutionizes shop floor decision-making by providing local actionable analytics and real-time insights. Enterprises adopting this technology gain competitive advantage with faster respond times and higher operating efficiencies.

High-demand IIoT implementations will increasingly require the deployment of infrastructure closer to the edge of the network, accentuating the need for remote management capabilities – including provisioning, configuration management and automation.

Organizations will begin to see each human as an edge computing platform, using AI, AR, and wearable technologies to understand worker context and enhance performance and skills with contextual guidance.

Today, it’s about connecting the first 100 billion IoT devices. Tomorrow’s IIoT Edge Computing will utilize these vast oceans of data and permanently alter how humans interact with and experience the world.

Today, there are multiple levels of edge computing in IIoT, but most are highly focused on gateways, and limited at the actual end-point sensor. In the future, expect vendors to distribute the intelligence all the way to the edge. This will reduce cost and help endpoints scale.

With IIoT edge computing, industrial enterprises have the ability to leverage software defined solutions to provide secure connectivity between devices and gateways at the edge and applications in public/private clouds.

Big data opens up opportunities around predictive analysis and analytics, but the real value comes in being able to extract the right data at the right time. IoT solutions succeed by sending only meaningful, exception-based information when it’s needed most.

We are seeing tremendous power in deep learning cloud analytics and we are starting to see a pull towards running these types of services in fog computing at the edge.

We’re seeing organizations focus on data generated by their automated systems rather than on the tools themselves. This shift demonstrates how IIoT, data and analytics will continue to unlock business value for organizations.