Battlecard: How to Avoid Epic Fails in Data Security
This Battlecard takes a data-centric view of security and offers key considerations to avoid epic fails in your data security deployment
This Battlecard takes a data-centric view of security and offers key considerations to avoid epic fails in your data security deployment
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In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. Organizations can then use these insights to take actions that ideally influence future outcomes for the better. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.
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