AWS Amazon Web Services2018-11-26T15:01:07+00:00

AWS Amazon Web Services

Delivering Edge Intelligence to AWS

FogHorn is a member of the AWS Partner Network (APN), combining the power of FogHorn’s Lightning™ Edge Intelligence solution with AWS for cloud infrastructure and cloud-hosted data science and machine learning (ML). At the edge, FogHorn Lighting’s Complex Event Processor (CEP) simultaneously performs complex pattern recognition with multiple streams of high volume and high frequency sensor data which allows real-time closed loop control actions to be taken, and to align all the streaming sensor data for ML and deep learning (DL) inferencing. This approach delivers high fidelity, low latency analytics at the industrial edge, creating real-time, actionable insights for greater operating efficiencies including uptime, yield, and energy savings.

FogHorn’s Machine Learning, Lightning ML™, offers continuous inferencing on all sensor data, adapting quickly to changing operational conditions and enables higher quality predictive insights leading to improved asset performance and process improvements.

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

Case Study: Schindler

The Schindler Group is a manufacturer of escalators, elevators, and moving walkways worldwide, moving over 1 billion people per day. Schindler recognized the value in analyzing the 2.5 GB of sensor data each elevator produced daily to anticipate maintenance needs, avoid downtime, minimize expensive repair and replacement costs, and ensure a high level of customer satisfaction.By deploying FogHorn’s Lightning™ edge intelligence software via GE’s Predix Edge on each elevator within existing motion sensor gateways, Schindler gained new insights into elevator activity to enable predictive and pre-emptive maintenance for the company and their customers. The GE Predix edge software connects to Predix Cloud services, hosted by AWS cloud.

Case Study: GE

General Electric Company is an American multinational conglomerate. FogHorn’s Lightning™ edge intelligence software is integrated into GE’s Predix platform (both Edge and Cloud), which delivers GE’s Asset Performance Management (Predix APM) application. Predix APM is a suite of software and service solutions designed to help optimize the performance of organizations’ assets.

FogHorn’s edge intelligence software is integrated into Predix Edge, and FogHorn Manger and associated services are integrated into Predix Cloud, hosted by AWS. Predix Cloud services leverage different AWS Availability Zones to support customers across the globe, as well as provide high availability and reliability. A number of services like Predix Time Series DataBase, Edge Manager and UAA are deployed in AWS cloud.

See FogHorn Live

Request a demonstration of FogHorn’s Lightning Edge Intelligence platform and discuss your needs with our team of experts in industrial IoT.