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What is Verizon Condition Based Maintenance?

Employ an edge gateway device to oversee your machinery remotely, greatly reducing the likelihood of unexpected downtime or failures. By adopting a proactive maintenance strategy, you can ensure that your equipment runs smoothly and remains efficient. Modern original equipment manufacturers (OEMs) now benefit from a more efficient method to tackle potential equipment issues before they escalate into serious problems. The combination of Condition Based Maintenance with Edge Management and Monitoring offers critical insights into your machinery by utilizing an edge gateway device. This technological advancement permits comprehensive surveillance of a diverse array of devices, ranging from consumer products and healthcare equipment to security systems, digital signage, robotics, manufacturing tools, and beyond, all facilitated through a secure and reliable remote management framework. Consequently, this innovative edge monitoring strategy not only helps you save time and reduce costs but also extends the longevity of your assets and boosts customer satisfaction. Furthermore, Condition Based Maintenance functions as an IoT platform-as-a-service, harnessing real-time data from sensors to enable nearly instantaneous monitoring of your assets. This ensures that your equipment stays in peak condition, ultimately driving enhanced efficiency and productivity across your operations. The shift towards such advanced monitoring solutions indicates a significant evolution in how businesses manage their equipment and respond to potential challenges.

What is UMH?

United Manufacturing Hub is an innovative, open-source platform powered by AI that facilitates the management of industrial data, effectively connecting shop-floor equipment with IT systems while meticulously cleaning, contextualizing, and structuring this data into a Unified Namespace, serving as a single real-time reference for the entire manufacturing environment. By utilizing this strong framework, manufacturers can keep an eye on operational KPIs, monitor energy consumption and equipment status, receive notifications, and deploy industrial AI solutions, including smart agents that analyze real-time production metrics. This platform has been successfully adopted in numerous facilities, with prominent clients like HiPP, Böllhoff, and VELUX leading the way. Moreover, a detailed Total Economic Impact assessment carried out by Forrester revealed a remarkable 426% return on investment over a three-year timeframe, with initial expenses recuperated in under six months, showcasing its significant worth in the manufacturing landscape. The impressive outcomes underline the platform's capability to revolutionize industrial processes, boost efficiency, and achieve higher productivity levels, proving it to be an essential tool for modern manufacturers. Its widespread adoption signifies a shift towards smarter, more interconnected manufacturing environments.

Media

Media

No images available

Integrations Supported

Integrations Supported

AWS AI Factories
Google Cloud AI Infrastructure
Microsoft Azure
Modbus RTU
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Verizon

Date Founded

1983

Company Location

United States

Company Website

www.verizon.com/business/products/internet-of-things/connected-assets/condition-based-maintenance/

Company Facts

Organization Name

United Manufacturing Hub

Date Founded

2021

Company Location

Germany

Company Website

www.umh.app/

Categories and Features

Industrial IoT

Not specified

Categories and Features

Industrial AI

Not specified

Industrial IoT

Condition Monitoring
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Trend Analysis
Work Order Management

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