Big data (200)
6 Steps to Data-Driven Transformation
- Friday, 26 October 2018
- Big data
- Written by Nir Kaldero
We’re now well into the Fourth Industrial Revolution. The First Industrial Revolution was about steam and railroads, the Second about electricity, and the Third brought about by the Internet. AI, the basis of the Fourth Industrial Revolution, will completely change the way business is done and companies are run in the next five to ten years, just as the Internet has done in the last ten. The transformation will be bigger than that any previous revolution has brought about.
Read more...How Much Is Your Company’s Data Worth?
- Friday, 26 October 2018
- Big data
- Written by Kim Del Fierro
In the age of digital technology, the biggest asset any company has is its data. But despite hearing that fact repeated over and over, organizations often haven’t a clue what their data is worth. That’s no surprise, considering how difficult it is to measure the value of enterprise data without generally accepted accounting principles.
Read more...Alibaba, the Supply Chain, and Changes in China
- Monday, 22 July 2019
- Big data
- Written by Jacob Roberts
It is well known that China has been the biggest producer of goods for many years. From children’s school supplies to the contents of every handyman’s toolbox, “Made in China” is found in small print. However, China’s labor costs, much due to its economic growth from manufacturing, have risen to the point that the competition from nearby Asian countries is taking some of that manufacturing business. These shifts, along many others over the last two decades, have been heavily influenced by the conglomerate Alibaba, affecting the supply chain of companies worldwide.
Read more...Predicting Machine Failure with Big Data
- Thursday, 25 October 2018
- Big data
- Written by Jacob Roberts
The fourth industrial revolution is on the rise. This time, instead of replacing human hands with machinery, companies are replacing scheduled surveys with timely repairs. Industry 4.0 includes machine learning on a variety of levels, but one of the most intriguing (and financially applicable) is predictive maintenance; the practice of predicting machine failure before it happens. Face detection, talking refrigerators, and mood-setting light bulbs are fun, but when big money talks, everybody listens.
Read more...Most Read
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Mar 11 2019
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Written by Danielle Loughnane
According to Kaggle, an online community for data scientists and…
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Oct 26 2018
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Written by Kim Del Fierro
In the age of digital technology, the biggest asset any…
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Aug 26 2019
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Written by Danielle Loughnane
Not everyone needs to be a data scientist, but every…
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Jan 13 2019
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Written by Danielle Loughnane
According to the Harvard Business Review, every company needs a…
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