FogHorn and Uptake 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 an entire spectrum 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 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 comprehensive database of industrial content including equipment types, failure mechanisms and maintenance tasks. The result is a combination of deep 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 reduces model size by up to 80 percent 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 true 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.
FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases.
FogHorn’s technology is ideal for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building and connected vehicle applications.
As a provider of industrial artificial intelligence and IoT software for industrial companies, Uptake combines data analytics and machine learning with deep industry knowledge to unlock the power of data for the global industrial sector. Headquartered in Chicago, with offices in Silicon Valley, Toronto and Dubai, Uptake works with industrial customers of all sizes across the globe to use software and data to reimagine their industry.
“Uptake’s cloud-based industrial AI and IoT platform has cracked the code of turning complex data into real-world outcomes, empowering people, machines and businesses to make more informed decisions,” said Sastry Malladi, CTO at FogHorn. “By working together, we can combine this critical competency with our edge-based advanced analytics and machine learning, and extend it to the on-premises industrial environment to enable a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases.”
“FogHorn has made tremendous advances in IIoT edge computing over the last few years and has clearly demonstrated the value of bringing analytics and complex event processing close to the source,” said Abhi Kunté, VP of partnerships at Uptake. “With this partnership, we’ll deliver more complete edge-to-cloud analytics solutions to our mutual customers across the industrial sector, enabling new solutions for asset performance management that empower users to quickly act on data-driven predictions and recommendations. The result is outcomes that help businesses unlock new value across the enterprise through improved operational performance, including uptime, reliability and output.”