Connect directly to industrial assets to seamlessly collect high-frequency sensor data. Aggregated data can be streamed back to a private data centre or public cloud for “fleet-view” analysis.
Raw, time-series based datasets are filtered, standardised and loaded into a local, secure, fault-tolerant and distributed file system.
High-speed clusters of parallel computing resources cache, transform and convert raw data streams into meaningful datasets for analysis and application development.
A global manufacturer needed to model sensitive and secure data, locally, to identify trends and patterns in asset performance and run root cause analyses.
Multiple Industrial Edge Cloud™ nodes, running Foresight Engine™, were deployed at the client's factory to enable the engineering team to create complex statistical models and generate insights.
The client's engineering team was able to run sophisticated analyses and build complex models locally without having to leave the factory or expose sensitive data over the network.
Built to withstand harsh industrial environments, the Industrial Edge Cloud is a ruggedised, compact hardware appliance that provides robust compute capabilities, cloud connectivity and secure storage anywhere advanced analytical processing is needed.
The Industrial Edge Cloud is built on Open Compute Project (OCP) hardware and OpenStack Cloud software for maximum interoperability. The Cloud Foundry open-source platform provides scalable micro-services, continuous deployment capabilities, faster cycle time and higher reliability.
Connect to and collect data from any source, at any frequency or scale. Build complex models, run sophisticated analytics, collaborate across teams and deploy cloud-native, predictive applications locally - without having to worry about the underlying infrastructure.
The Industrial Edge Cloud™ is equipped with 9 compute nodes, 144 Intel®Xenon cores, 5TB of storage and 576GB of RAM giving you the capacity you need to process any advanced analytic.
Data can be synthesised from any source, location, frequency, format and file size. A highly-elastic and fault-tolerant Lambda architecture can process massive quantities of batch and streaming data.
Designed for industrial time-based data, QiO’s data storage platform is non-relational, fully-configurable, secure and can be deployed in any industrial environment.
The Industrial Edge Cloud appliance uses Spark for high-speed parallel computing to transform and convert raw, distributed data streams into meaningful datasets for analysis and application development.
Easily explore and model big data from any data source or file type. Train a model on complete data sets, not samples, and iterate and score in real-time.
QiO provides seamless API connectivity to ERP, asset management, billing, HR and supply chain systems.
Raw data is stored locally and encrypted, providing complete isolation and protection of sensitive data sets.