Predictions 2018: How Data Management Will Be Evolving

Published on eWeek


A good data management system is only as good as its ability to store, retrieve and produce files quickly and efficiently in order to get a task or workload completed in a timely fashion. We'll see more choices in 2018.

Data management takes up a wide swath of time, power and man-hours on a daily basis inside an IT system. It also can be the most complicated part of any IT system.

Think I’m kidding? Take a look at QuinStreet’s Webopedia page on data management and see how many different components and/or subcategories there are in this category. Alrighty then.

A good data management system is like an efficient library: It's only as good as its ability to store, retrieve and produce files quickly and efficiently in order to get a task or workload completed in a timely fashion.

Despite that simple definition, there’s always a lot to be said about how conventional DM systems work or don’t work. There's always room for a new idea, as long as it works.

Here are predictions and perspectives for 2018 from knowledgeable professionals in this sector.

Johnny Ghibril, Vice-President of Technology Solutions at B.Yond:

“In 2018, we will see the first true application of edge computing as it moves from a wireline to a wireless technology. Many operators will realize that the ROI from virtualizing their networks has failed to materialize due to increased operational complexity and poor architectural foundations. Operators will turn to AI to help solve these problems. We will continue to see more adoption of AI, with an increased focus on the cost saving benefit for network management, service assurance and operations.”

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PublicationDaisy Tong