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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification madhav Tue, 12/12/2023 - 05:21 Given the pace of data growth and the complexity of hybrid IT environments, the discovery and classification of sensitive data is no simple task.
Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructureddata to parse.
IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructureddata, wherever it resides, for high-performance AI and analytics. What is watsonx.data?
According to Unitrends’ 2019 cloud storage research, 62% of respondents had successfully recovered data from the cloud. This trend is expected to increase as Gartner projects a threefold rise in unstructureddata capacity by 2026.
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