GE's Transformation: Becoming a Leading Software Company

To What Extent Is GE Becoming A Software Company? GE is a global conglomerate which can be considered to be heading towards the track to becoming on of the top 10 software companies of the world. While we can say that GE is not traditionally a software company, their r The company is converting its business towards technology. With the help of Jet engines and oil-refining material, it can generate electric power. The cloud-based software changed the whole company. Now, the company is monitoring only about technology to become a successful software servicing company.Requirement 2As the future of the world is getting modernized, General Electric company is focusing on software and the Internet of Things. GE is trying to take its customers base from traditional on-site manufacturing to digital software-based operations. The launch of sensor-generating data has revolutionized the success. Using cloud-based data make the company more productive and reliable. The overall thinking towards the future is superlative.Requirement 3General Electric company launched Predix in 2015 to accumulate data. The three decisions to use Predix are - 1. As Predix can operate on each cloud infrastructure, it can provide sensor and analyze the data quite quickly.2. Since Predix is a high standard cloud-based protocol, it enables customers to join quickly to the mechanical market.3. With the help of Predix, each customer can adjust the size and range of the current levels of use to understand their requirements .Requirement 4People like to use from all over the world, General Electric (GE) equipment. They also like to mix that equipment with other companies' equipment to produce a high-qualified machine. As people are using more GE equipment with others, it is discussing the customers to handle the GE related equipment for a permanent basis. Therefore, it is becoming a software company Describe three kinds of decisions

that can be supported using Predix. What is the value to the firm of each of those decisions? Explain. Structured decision: GE currently uses Predix to monitor and maintain its own industrial products, such as wind turbines, jet engines, and hydroelectric turbine systems. Predix is able to

provide GE corporate customers' machine operators and maintenance engineers with real-time information to schedule maintenance checks, improve machine efficiency, and reduce downtime. → These activities already have given process/structure → Structured decision Helping customers collect and use this operational

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

data proactively would lower costs in GE service agreements. When GE agrees to provide service for a customer's machine, it often comes with a performance guarantee. Proactive identification of potential issues that also takes the cost out of shop visits helps the customer and helps GE. Semi-structured decision: GE uses Predix to analyze data across its fleet of machines. By

identifying what made one machine more efficient or downtime - prone than another, GE could more tightly manage its operations. By collecting massive amounts of data and analyzing the data across its entire fleet of machines, GE was able to cluster engine data by operating environment. The company found that the hot and harsh environments in the Middle East and China

caused engines to clog, heat up, and lose efficiency, so they required more maintenance. GE found that engines had far fewer of these problems if they were washed more frequently. Fleet analytics helped GE increase engine lifetime and reduce engine maintenance. Predix's robust data and analytics platform made it possible for GE to

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

use data across every GE engine all over the world and cluster fleet data. Unstructured decision: GE's predictive analytics tool suite Reliability Excellence based on the Predix platform can activate the operational data analytics to improve the efficiency of machines. It will help to identify ways of lowering production costs, increasing plant capability, and improving

system reliability. Applying analytics built on the Predix platform can enable GE to offer customers anomaly detection or enable cost savings by reducing the need for preventative maintenance thanks to the visibility of the operational data GE can now provide Describe three kinds of decisions

that can be supported using Predix. What is the value to the firm of each of those decisions? Explain. Structured decision: GE currently uses Predix to monitor and maintain its own industrial products, such as wind turbines, jet engines, and hydroelectric turbine systems. Predix is able to

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

provide GE corporate customers' machine operators and maintenance engineers with real-time information to schedule maintenance checks, improve machine efficiency, and reduce downtime. → These activities already have given process/structure → Structured decision Helping customers collect and use this operational

data proactively would lower costs in GE service agreements. When GE agrees to provide service for a customer's machine, it often comes with a performance guarantee. Proactive identification of potential issues that also takes the cost out of shop visits helps the customer and helps GE. Semi-structured decision: GE uses Predix to analyze data across its fleet of machines. By

identifying what made one machine more efficient or downtime - prone than another, GE could more tightly manage its operations. By collecting massive amounts of data and analyzing the data across its entire fleet of machines, GE was able to cluster engine data by operating environment. The company found that the hot and harsh environments in the Middle East and China

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

caused engines to clog, heat up, and lose efficiency, so they required more maintenance. GE found that engines had far fewer of these problems if they were washed more frequently. Fleet analytics helped GE increase engine lifetime and reduce engine maintenance. Predix's robust data and analytics platform made it possible for GE to

use data across every GE engine all over the world and cluster fleet data. Unstructured decision: GE's predictive analytics tool suite Reliability Excellence based on the Predix platform can activate the operational data analytics to improve the efficiency of machines. It will help to identify ways of lowering production costs, increasing plant capability, and improving

system reliability. Applying analytics built on the Predix platform can enable GE to offer customers anomaly detection or enable cost savings by reducing the need for preventative maintenance thanks to the visibility of the operational data GE can now provide 12-15 Describe three kinds of decisions that can be supported using Predix. What is the value to the firm of each of those decisions? Explain. The foundation for all of GE’s Industrial Internet (IoT) applications is Predix, a software platform launched in 2015 to collect data from industrial sensors and analyze the information in the cloud. Predix can run on any cloud infrastructure. The platform has open standards and protocols that allow customers to more easily and quickly connect their machines to the Industrial Internet. The platform can accommodate the size and scale of industrial data for every customer at current levels of use, but it also has been designed to scale up as demand grows. Predix can offer apps developed by other companies as well as GE, is available for on-premises or cloud-based deployment, and can be extended by customers with their own data sources, algorithms, and code. Customers may develop their own custom applications for the Predix

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

platform. GE is also building a developer community to create apps that can be hosted on Predix. Predix is not limited to industrial applications. It could be used for analyzing data in healthcare systems, for example. GE now has a Health Cloud running on Predix. Data security is embedded at all platform application layers, and this is essential for companies linking their operations to the Internet. GE currently uses Predix to monitor and maintain its own industrial products, such as wind turbines, jet engines, and hydroelectric turbine systems. Predix is able to provide GE corporate customers’ machine operators and maintenance engineers with real-time information to schedule maintenance checks, improve machine efficiency, and reduce downtime. Helping customers collect and use this operational data proactively would lower costs in GE service agreements. When GE agrees to provide service for a customer’s machine, it often comes with a performance guarantee. Proactive identification of potential issues that also takes the cost out of shop visits helps the customer and helps GE. A. An UNSTRUCTURED DECISION which will be reflecting that predix can run on any cloud in infrastructure and connect to the loca… View the full answer Describe three kinds of decisions that can be supported using Predix. What is the value to the firm of each of those decisions? Explain. The Predix cloud base platform has advantages in terms of valuing the company and making judgments that the Predix can develop and strengthen the firm. GE uses the Predix in various areas of the organisation, including machinery maintenance and monitoring of all machines in use, as well as assisting clients in collecting reliable data, as noted in the text. The Predix cloud could be highly useful and is a dependable source that could lead to new GE business decisions. Including: Structured Decisions, decisions that are recurrent and regular, with a clear procedure for dealing with them. This type of decision may be viewed through the fast-paced real-time Predix cloud. The predix cloud analyzes data very quickly which will allow efficient and rapid data, saving money on corporate downtime. Unstructured Decisions could be used through the Predix of when it finds data for customers, finding patterns of behaviours to estimate and predict the future decision-making causing for the unstructured decision making due to the “no agreed upon decision making procedure.” Semi Structured Decisions GE can use the data collected to analyze and come to a conclusion on the machines that are needing more work to get the most time efficient machines. With the predix being able to do so this will also help the company to save money on wasted time in every machine being used. Each machine should be up to its full capability to get the most out of every machine.

To What Extent Is GE Becoming A Software Company

Related Documents