08/19/2019 
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08/19/2019 Archival data is piling up faster than ever as organizations are quickly learning the value of analyzing vast amounts of previously untapped digital data. Industry studies consistently find that the vast majority of all digital data is rarely, if ever, accessed again after it is stored. However, this is changing now with the emergence of big data analytics made possible by Machine Learning (ML) and Artificial Intelligence (AI) tools that bring data back to life and tap its enormous value for improved efficiency and competitive advantage.
The need to securely store, search for, retrieve and analyze massive volumes of archival content is fueling new and more effective advancements in archive solutions. These trends are further compounded as an increasing number of businesses are approaching hyperscale levels with significant archival capacity requirements.
An active archive resolves complexity by leveraging the benefits of an intelligent data management layer, and an increasing number of effective software products that address this are now available. Access and management of data is getting more complex and is requiring modern strategies with intelligent data management techniques. These strategies and techniques are now being enhanced by AI to further improve and automate data management.
Download the Active Archive Alliance 2019 State of Active Archive Report to learn more about the state of the archive market and the expanding role the active archive plays.
