HighByte Intelligence Hub is purpose-built to model and manage plant floor data at the Edge. The software enables manufacturers to securely connect, merge, model, and flow industrial data to enterprise systems on AWS Cloud without writing or maintaining code. Deploy the Intelligence Hub on any Linux or Windows PC or by using Docker or Kubernetes.
Download the Solution Brief to learn more about critical features, measurable benefits, use cases, and technical specifications.
"Our commitment to sustainability means we are continuously looking for new ways to improve efficiency and reduce waste in the manufacturing process. By using HighByte Intelligence Hub as a data modeling abstraction layer, we are able to standardize data sent to the AWS Cloud. This new version of HighByte Intelligence Hub gives us the ability to explore many business use cases and scale them across our enterprise. By eliminating the need to write and maintain custom code, we are more agile and can rapidly iterate on analytics and sustainability initiatives."
The Intelligence Hub consumes both real-time and asset model data from a variety of edge data sources, including machine data, transactional data, time series (historical) data, and AWS IoT Greengrass, and publishes data over a variety of outbound connections, including native connections to AWS IoT SiteWise, Amazon Kinesis Data Streams, and Amazon Kinesis Data Firehose, Amazon Redshift, and Amazon S3.
The Intelligence Hub enables customers to build asset models in the editor or import external model definitions and deploy models directly to AWS IoT SiteWise along with the streaming data. This enables users to calculate and visualize metrics from telemetry data using AWS IoT SiteWise Monitor.
Using pipelines, customers can orchestrate asset models to multiple output connectors, each with different frequencies. The Intelligence Hub can also connect bi-directionally to AWS IoT Core and AWS IoT Greengrass through the MQTT connection to consume data from the Cloud and publish modeled information back to on-premises systems. For large datasets, publish to warm-tier storage in Amazon S3 via natively supported buffered ingestion to optimize efficiency and cost of AWS IoT SiteWise.
