General Electric
Imagination at Work.---nyse--ge_1.jpg "General Electric Logo")
Overview
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HQ Location
United States
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Year Founded
1892
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Company Type
Public
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Revenue
> $10b
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Employees
> 50,000
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Website
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Stock Ticker
NYSE: GE
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Twitter Handle
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Company Description
GE is a diversified specialty equipment, infrastructure and financial services company. Their products and services range from aircraft engines, power generation, oil and gas production equipment, and household appliances to medical imaging, business and consumer financing and industrial products. GE believes new technologies will merges big iron with big data to create brilliant machines. This convergence of machine and intelligent data is known as the Industrial Internet, and it's changing the way we work. Year founded: 1892 Revenue: $148.5 billion (2014) NYSE: GE Featured Subsidiaries/ Business Units: - GE Digital - GE Predix - GE Intelligent Platform - Wurldtech
IoT Solutions
The Industrial Internet allows you to combine brilliant machines with best-in-class analytics to deliver valuable new insights that were never before possible. The results of these powerful analytic insights can be revolutionary for your business by transforming your technological infrastructure, helping reduce unplanned downtime and maximize profitability and efficiency. GE believes the Industrial Internet unlocks new possibilities and drives transformation by connecting brilliant machines, advanced analytics and people at work. By getting equipment connected and having insights and evidence of when equipment maintenance is needed, you can optimize the maintenance schedule and cycle. GE’s business is making the Industrial Internet real. They help customers connect their machines, data, insights and people to improve performance, uptime and productivity. Their scalable, open standard control solutions bring the benefits of connected machines to customers' operations.
Key Customers
Boeing, Songas, Wheaton Franciscan
Subsidiary
IoT Snapshot
General Electric is a provider of Industrial IoT platform as a service (paas), analytics and modeling, functional applications, cybersecurity and privacy, networks and connectivity, sensors, and automation and control technologies, and also active in the aerospace, buildings, chemicals, cities and municipalities, consumer goods, education, electrical grids, electronics, equipment and machinery, healthcare and hospitals, metals, oil and gas, renewable energy, retail, telecommunications, and utilities industries.
Technologies
Analytics & Modeling
Data Mining
Digital Twin / Simulation
Edge Analytics
Machine Learning
Big Data Analytics
Predictive Analytics
Process Analytics
Real Time Analytics
Platform as a Service (PaaS)
Application Development Platforms
Connectivity Platforms
Data Management Platforms
Device Management Platforms
Automation & Control
Supervisory Control & Data Acquisition (SCADA)
Automation & Process Control Systems
Electric Drives & Control
Human Machine Interface (HMI)
Use Cases
Additive Manufacturing
Asset Health Management (AHM)
Asset Lifecycle Management
Automated Disease Diagnosis
Building Energy Management
Clinical Image Analysis
Digital Thread
Digital Twin
Driver Performance Monitoring
Edge Computing & Edge Intelligence
Machine Condition Monitoring
Mesh Networks
Predictive Maintenance
Process Control & Optimization
Regulatory Compliance Monitoring
Remote Asset Management
Remote Control
Root Cause Analysis & Diagnosis
Smart Lighting
Track & Trace of Assets
Vehicle Performance Monitoring
Functional Areas
Industries
Services
Technology Stack
General Electric’s Technology Stack maps General Electric’s participation in the platform as a service (paas), analytics and modeling, functional applications, cybersecurity and privacy, networks and connectivity, sensors, and automation and control IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Unifying Predictive Analytics and Real-time Process Optimization for Oil & Gas
A leading oil & gas company and one of GE’s most trusted and innovative partners had no way of integrating independent equipment issue detection capabilities. The company was losing money as a result of unplanned downtime due to maintenance scheduling issues and outdated software systems. They believed that a well-designed combination of IT assets would generate stronger insight than they had, affording them the ability to monitor offshore equipment from an onshore facility using real-time insight and predictive analytics.
Case Study
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
Case Study
IIC Industrial Digital Thread (IDT) Testbed
Field engineers and service teams often lack data and digital insights needed to assess, troubleshoot, and determine work scope for the large industrial assets in performing corrective and preventative maintenance activities. QA engineers many times need to understand why a particular problem in the part is happening recurrently or why parts from suppliers don’t stack up well in the assemblies due to mismatch. The root cause is usually hidden in design, manufacturing processes, supply chain logistics or production planning. But without the right data and digital insights, it's hard to pinpoint. GOAL To collect information in the design, manufacturing, service, supply-chain setup and provide access to and intelligent analytics for industrial manufacturing and performance data, to identify the root cause easier. Such insights can improve not only service and owner/operator productivity, but also provide critical feedback to the design engineering and manufacturing operations teams for continuous improvement.
Case Study
Hardware and Software Upgrade Boosts Power Output for TransCanada
As TransCanada's GE turbines were nearing end of life at their Ravenswood and Alberta locations, they required cleaner, more viable solutions to meet the growing power demands of their constituency, with the Ravenswood location serving over 20% of New York City.
Case Study
Kospo Met Increasing Market Demands with Existing Turbine Upgrade
Kospo needed a way to provide a higher reserve margin. Given the rise in demand due to a positive economic environment, Kospo looked to upgrade their fleet of 7F gas turbines to provide additional capacity while controlling emissions.
Case Study
Vale Fertilizantes Saves $1.4M in Production Losses with Predix Asset Performanc
Reducing production lossesIn 2013, the company identified a need in the maintenance and operation of its acid nitric plant to reduce production losses and improve annual production. Vale noticed there was a gap in nitric acid production from 2011 to 2012 and discovered that three pieces of equipment were responsible for the main losses, including two weak acid condensers and a compressor discharge air cooler. The condenser’s losses were due to thickness loss, lack of availability of the spare condenser, and shell cracking.With a production loss above 14,000 tons in 15 months, Vale aimed to reduce annual loss by 10,000 tons by August 2015.
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