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Data Management: Which New Changes Are Coming in 2019
Basically everything in IT these days revolves around managing waves of data coming in from multiple outside sources: mobile devices, ecommerce sites, data streams for analytics, enterprise ecosystems, sales/marketing partnerships and so on. Thus, the function of data management is constantly evolving to handle the influx of files, logs, images and everything else. What’s relevant today may not be relevant tomorrow, much less next year, requiring companies to constantly evaluate data, innovate, evolve and maintain agility–all while tiptoeing the line of data management and analysis to ensure the right data is on hand when you need it most. The sheer volume of data continues to increase at a staggering rate, and while some of it is beneficial, much of it is irrelevant. Moreover, a disturbing portion is dark and potentially dangerous. This has led to data protection giving way to data management, where data is the fuel for company success, driving insights, customer targeting and business planning--and even more so today, training artificial intelligence (AI) and machine learning models.
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