AI and machine learning can be used to tackle data problems , allowing light to be shone on organisations ’ dark data
DARK DATA : How AI and ML can solve unclassified data issues
AI and machine learning can be used to tackle data problems , allowing light to be shone on organisations ’ dark data
WRITTEN BY : MARCUS LAW
Today ’ s world has seen a massive explosion in data . While only three of the 10 most valuable enterprises were actively taking a data-driven approach in 2008 , that number has risen to seven out of 10 today . According to research by Accenture , every day , the world produces five exabytes of data . By 2025 , this is set to rise to a rate of 463 exabytes per day . But with the everincreasing quantities of data , arriving in increasing volumes and with more velocity , organisations increasingly face the challenge of dealing with dark data - defined by Gartner as the information assets organisations collect , process and store during regular business activities , but generally fail to use or other purposes .
This month Technology Magazine hears from Ian Wood , former UK Head of Technology at Veritas , who spoke at Tech LIVE Virtual on the dangers of dark data and how organisations can shed light to gain visibility .
“ Dark data simply means data that has not been classified ,” Wood explains . “ We ’ re not saying it ’ s bad or good data . We ’ re not saying it ’ s valuable data , or that it ’ s invaluable . Frankly , we are saying we don ’ t know what it is . Lurking in dark data could be the most sensitive or critical data to any organisation , due to the fact that they haven ’ t got effective classification , and an effective means to monitor and understand their data .”
AI and dark data AI augments our everyday lives in increasingly varied ways . Using machine learning , AI enables us to automate tasks , all powered by big data .
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