Clearly , organisations need to be able to get a better view of where their data is . AI and machine learning can be used to make the whole process more effective , through enabling better data discovery .
“ Instead of just using AI to win a chess game or predict when my family may need new toothpaste , we can point out AI and machine learning at solving data problems so we can use this to manage dark data ,” Woods asserts . “ Ultimately , data discovery is one of the first areas in which we can use ML / AI to help discover data assets and then to put it through an engine to help classify .
“ When data is cluttered , it ’ s frankly very difficult to make data decisions . So in this instance , we are using AI within Veritas to discover data sources . We are then using that to put it through a classification engine to predict what data resides in an organisation and ultimately classify where it resides , who has ownership , what the type of data files are , perhaps even identify where malware can reside inside files and data , and ultimately shine a light on dark data so that organisations can make data decisions .”
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