INDUSTRY INTELLIGENCE
many years , and International Data Corporation ( IDC ) estimates that upwards of 90 % of business information is likely to be formed of unstructured data by 2025 . Artificial Intelligence ( AI ), scientific discovery , Machine Learning , Extended / Virtual Reality , autonomy and corporate video are just some of the industries driving the creation and volume of unstructured data .
The surge of unstructured data has resulted in an explosion of storage silos with a proliferation of storage classes across all price bands needed to accommodate such growth . Existing storage fills up or needs to be replaced and new use cases require different performance or need the cloud or other means of access . All of this adds complexity to an
Data orchestration technologies can play a significant role in enhancing data security . organisation ’ s IT management and makes it very difficult to ensure its data objectives can be met .
Unstructured data presents unique security challenges due to its diverse formats and sources . Data orchestration technologies can play a significant role in enhancing data security by providing a framework for managing , automating and controlling data workflows , processes , access and interactions . Implementing a global file system that spans across systems with a control layer that can be automated using intelligent , objective-based policies at the file-granular level is a critical tool in securing unstructured data . In this way , IT professionals can automate data protection , data placement and other services based on the business value of individual files or datasets using the system ’ s rich metadata ( information about the data ). This includes not only creation dates , modification times and file types , but also custom metadata tags such as department ID or compliance information that can drive policies .
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