Improve Asset Reliability & Efficiency at MaximoWorld

MaximoWorld 2025: Actionable Insights for Reliability Success.

Sign Up

Please use your business email address if applicable

FogHorn Partners with Google Cloud to Deliver Industry Leading IIoT Solution

Foghorn’s Lighting™ Edge Intelligence platform, in collaboration with Google Cloud IoT Core, maximizes the value of industrial data from every IoT device

MOUNTAIN VIEW, Calif. -- March 20, 2018

FogHorn Systems, a leading developer of “edge intelligence” software for industrial and commercial IoT applications, today announced a collaboration with Google Cloud IoT Core to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.

The companies have teamed up to integrate FogHorn’s breakthrough Lightning™ edge analytics and machine learning platform with Cloud IoT Core, a fully managed service that allows you to easily and securely connect, manage, and ingest data from globally dispersed devices.

“Cloud IoT Core simply and securely brings the power of Google Cloud’s world-class data infrastructure capabilities to the IIoT market,” said Antony Passemard, Head of IoT Product Management at Google Cloud. “By combining industry-leading edge intelligence from FogHorn, we’ve created a fully-integrated edge and cloud solution that maximizes the insights gained from every IoT device. We think it’s a very powerful combination at exactly the right time.”

Cloud IoT Core is a comprehensive set of integrated services that helps unlock business insights in real time from data across globally dispersed devices. Device data captured by Cloud IoT Core gets published to Cloud Pub/Sub for downstream analytics. Businesses can conduct ad hoc analysis using Google BigQuery, easily run advanced analytics and apply machine learning with Cloud Machine Learning Engine, or visualize IoT data results with rich reports and dashboards in Google Data Studio.

FogHorn’s Lightning™ product portfolio brings a groundbreaking dimension to IIoT by embedding edge intelligence as close to the source of streaming sensor data as possible. The FogHorn platform is a highly compact, advanced and feature-rich edge intelligence solution that delivers unprecedented low latency for onsite data processing, real-time analytics, machine learning and AI capabilities. By enabling data processing at or near the source of sensor data, FogHorn enriches and optimizes data published to the cloud for further processing and analysis.

The combined capabilities of Cloud IoT Core and FogHorn’s Lightning™ product portfolio creates an ideal foundation for optimizing distributed assets and processes in manufacturing, oil and gas, mining, power and water, renewable energy, transportation, connected vehicles, smart building and smart cities.

“Our integration with Google Cloud harmonizes the workload and creates new efficiencies from the edge to the cloud across a range of dimensions,” said David King, CEO at FogHorn. “This approach simplifies the rollout of innovative, outcome-based IIoT initiatives to improve organizations’ competitive edge globally, and we are thrilled to bring this collaboration to market with Google Cloud.”

FogHorn will demonstrate the joint solution at Google Cloud Next, July 24-27, in San Francisco, CA.

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. 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 ideally suited 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.

FogHorn and Lightning are trademarks of FogHorn Systems. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Keep reading...Show less

Reliability.AITM

You can ask "R.A.I." anything about maintenance, reliability, and asset management.
Start
Do or Do Not

Data analysis is critical to understanding problems and decision-making. Analysis that is not followed up by an action is likely a wasted opportunity, but not always.

Achieving Trouble Free Bearing Life Through Defect Elimination

When a machine is designed, one of the major considerations the engineer must make is the selection of proper rolling element bearings. Some of the factors to consider in selecting bearings are shaft speeds, loads (both axial and radial), the environment they will run in, how to relube them, the duty cycle, etc.

Who Does This Belong To?

In today’s fast-paced connected world, you and your organization create an abundance of data. In the past, large corporations with multiple locations relied on in person site visits or information provided by the on-site team for updates to productivity in facilities. But what if there was a way to do this remotely?

How Forgotten Data / Information Can Cost Hundreds of Thousands of Dollars

There was a terrible fire in a liquefied petroleum gas (LPG) plant. It destroyed piping and a critical air cooler (fin fan) and damaged pumps, valves, cables and supports. Fortunately, although there were injuries, no one died.

From Good to Great

A large water utility decided to investigate maintenance reliability best practices. There were eight different treatment plants and eight different maintenance managers.

So What?

A week after the plant started up after an annual planned outage, an injection pump motor failed. The motor’s insulation had failed, shorting between phases.

Upcoming Events

MaximoWorld 2025

August 4 - 7, 2025
View all Events

Upcoming Workshops

View all Workshops

“R.A.I.” the Reliability.aiTM Chatbot

Start
ChatGPT with
ReliabilityWeb:
Find Your Answers Fast
Start