This content was created by Chase B Barrows.
Friedman, Thomas L. Thank You for Being Late: an Optimist's Guide to Thriving in the Age of Accelerations. Picador, 2017.
1 2022-12-09T12:44:51-08:00 Chase B Barrows c8efee2a59ef44bcff278e0eab0b717e551f7214 41992 1 A large portion of this book explains the technical aspect of how Big Data and Analytics have been able to enter the modern landscape of what's possible. It describes the multiple layers of software advancement, hardware advancement, and cultural and economic shifts that has culminated to a breaking point where cloud computing and learning algorithms will affect nearly every aspect of our lives in the future. Some of the topics covered is Moore’s law, Qualcomm's ability to create a digital internet network, and the implications of leveraging technology with the worker instead of against them. This resource is a great foundation for understanding what Big Data is and how it is even possible. plain 2022-12-09T12:44:51-08:00 Chase B Barrows c8efee2a59ef44bcff278e0eab0b717e551f7214This page is referenced by:
-
1
2022-12-09T12:44:51-08:00
Big Data and Analytics
1
How Industrial Big Data and modern analytics has been used to leverage better decision making processes in the broad field of Industry
image_header
2022-12-09T12:44:51-08:00
The topic I chose to research was Big Data and the accompanying Analytics that inherently come with collecting Big Data. Specifically I focused on the use of Big Data in the Industrial context. Today there is what is known as the Internet of Things, or IoT. This is the ever growing network of internet connected devices that both produce and consume data. Things like your phone and smart watches connect you to the internet. The modern car receives and produces massive amounts of Data. Even refrigerators, thermostats, and doorbells create data. All this data can be collected and sifted through in order to find patterns that in turn create more efficient systems, and modern Industry is no different.
GE is at the forefront of what is known as the Industrial Internet of Things,or IIoT. Like a car produces data, so do wind turbines, jet engines, and natural gas power plants. Because of advancement in the price of computing power, speed and infrastructure of data communication, and software compatibility and advancement, this data can now be collected, analysed, and used to make data driven decisions to increase efficiency of production and function. Moore'slaw has produced computer chips twice as fast for the same price every 18 months for the last 50 years. This exponential growth is just one peaice of the puzzle that has allowed for such in depth data collection. An example how GE has leveraged new technologies and abilities is by creating created ‘smart trains’. Simply by adding an internet enabled device to locomotive engines that track their operations patterns can begin to be discerned. By understanding in more detail the relationship between fuel use, acceleration, and terrain gradients, the fuel efficiency can be greatly improved. Using relatively cheap devices to report data back to GEs data centers allows for efficiency gains and savings for all of its customers operating their train engines.
Increases in efficiency like the locomotive can be less than 1% in relative efficiency but can lead to billions of dollars saved in the long run. This sort of savings can be applied to many industries and means that if a business isn't leveraging Big Data yet, it soon will be.
