FogHorn, a developer of edge intelligence software for industrial and commercial Internet of Things (IoT) solutions, and Uptake, a provider of AI and IoT for global industrial businesses, announced a partnership to streamline the deployment, and accelerate time-to-value, of industrial IoT applications. To accelerate customer outcomes, the companies plan to integrate FogHorn’s Lightning edge analytics and machine learning platform with Uptake’s purpose-built industrial AI and IoT platform.
FogHorn’s Lightning product portfolio brings a dimension to the industrial Internet of Things (IIoT) by embedding edge intelligence locally, as close as possible to the source of streaming sensor data. Coupled with Uptake’s purpose-built platform, customers benefit through:
- Reduced time-to-value by using immediate sensor readings and reporting to generate meaningful insights. FogHorn’s real-time streaming analytics at the source reportedly means lower costs, less latency and a deeper level of security. This is in combination with Uptake’s set of machine learning models, as well as its Asset Strategy Library, a comprehensive database of industrial content including equipment types, failure mechanisms and maintenance tasks. The result is a combination of operational and equipment knowledge with predictive analytics.
- The extension of Uptake’s machine learning and AI models to the edge, pre/post processing the data through FogHorn’s Complex Event Processor (CEP) engine. This can reportedly help reduce model size by up to 80% and enables them to work faster and in significantly smaller compute footprints.
- Jointly performing closed-loop edge-to-cloud machine learning and AI. This entails sending edge inferencing to Uptake in the cloud to tune the models, and Uptake sending the updated model back to the edge in an iterative way that’s ideal for changing operational conditions and specifications common in industrial environments.
- The promise of a sensor-to-customer integrated product offering focused on delivering financially-optimized outcomes. This is driven in part by Uptake’s recent release of its Asset Performance Management product portfolio, which provides a holistic view of the entire asset environment and equips the industrial workforce with the tools they need to make smarter decisions, faster. The result is outcomes based on improved operational performance, including uptime, reliability and output.