10 Data Science Trends for 2018 - InformationWeek

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Data Management // Big Data Analytics
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11/7/2017
09:00 AM
Cynthia Harvey
Cynthia Harvey
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10 Data Science Trends for 2018

Big data, artificial intelligence, augmented analytics, and more. Plenty has changed in data and analytics over the last year. Are you ready for these trends in 2018?
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Edge analytics

In the past, most data scientists have conducted analytics on data that resides in the cloud or a centralized data center. However, the growth of the Internet of Things has generated more interest in edge analytics. When you have thousands of devices and sensors all collecting data, transferring that data to another location for analysis eats up too much network bandwidth and becomes cost prohibitive. For these use cases, enterprises are beginning to do more data processing and analytics out at the edge of the network, either on or very close to the devices and sensors generating the data.

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