Edge Computing

Transform your factory data into actionable insights through Prusight’s AI powered automation

Edge computing is a networking philosophy focused on bringing computing as close to the source of data as possible in order to reduce latency and bandwidth use. In simpler terms, edge computing means running fewer processes in the cloud and moving those processes to local places, such as on a user’s computer, an IoT device, or an edge server. Bringing computation to the network’s edge minimizes the amount of long-distance communication that has to happen between a machine and server.

Capturing and visualizing critical data at the remote edge of the network can be difficult and expensive. Prusight Edge computing is a line of lightweight, limited, low-cost Prusight software solutions designed specifically for embedding into field and OEM devices at the edge of the network. With Prusight Edge, edge computing is easier and more affordable than ever, so you can extend your data collection, visualization, and system management all the way to the edge of your network.

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Prusight will add intelligence to your data collection and evaluate the data process to be more efficient.

Gather data
Prusight is capable of receiving data from numerous sources across your enterprise, like energy meters, PLCs, ERPs, Spreadsheets, Logs, Batch reports, etc., all having either related or completely different data formats in which they were created and translate this data into Prusight’s AI data pipeline.
Evaluate data
The unstructured data is then converted into contextualized data in real time with the help of our intelligent systems and machine learning classifiers. Prusight’s AI Data Pipeline is customizable using Digital Twin Builder. Machine learning and advanced analytics is applied onto the data to provide information regarding anomalies and insights.
Create a digital twin
Prusight creates a dynamic image of your factory, plants, lines, machines, products, and processes using a digital twin builder, which then maps out comprehensive, real time semantic context of process and product data.
Advanced analytics
The data is then analysed using best practices in reporting, diagnosis, stated KPIs and asset performance. A new dashboard is created by Prusight to depict data in real-time across the entire supply chain. Prusight also creates alerts in the system by analysing the data as part of its predictive maintenance feature.
Visualize data
The conditioned data is then presented across the supply chain in real-time for every line, machine and plant for actionable insights. Prusight presents this real-time data in contextualised dashboards for the appropriate person.

Optimize digital manufacturing capabilities with Prusight’s edge computing solutions

Real-time analysis
Real-time or near real-time data analysis as the data is analyzed at the local device level, not at a cloud or a distant data center.
Reduced network traffic
The data is being transmitted from local devices via Prusight to a data center or cloud, thereby reducing network traffic bottlenecks
Reduced costs
The data is being managed by a single platform as against cloud and data centers, thus reducing operational and data management expenses.
Flexible architecture
Prusight provides a single platform for edge computing and advanced data analytics, and hence requires lower latency and improved architectural flexibility.

Prusight is here to gear you up for the digital transformation journey

Speak to our experts to learn more!

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