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• When implementing AI , 45 % of organisations encountered unintended data exposure , meaning one of their biggest concerns became reality .
“ Unsurprisingly , data privacy and security were among the top concerns for organisations before implementing AI ,” said Dana Simberkoff , Chief Risk , Privacy and Information Security Officer , AvePoint .
“ The reality is that not enough organisations have the proper policies in place today , which exposes them to risks that could be mitigated , if they better protect and govern their data and educate their employees on the safe usage of this technology .”
The survey exposed contradictions in organisations ’ perception of readiness for AI compared to their reality .
• 88 % of organisations report they have an IM strategy in place , but 44 % lack basic measures such as archiving and retention policies and lifecycle management solutions .
• Just 29 % of organisations use automation in most aspects of their IM strategy . But data volume is growing , with 64 % of organisations managing at least 1 petabyte of data and 41 % managing at least 500 petabytes of data .
• When implementing AI , 52 % of organisations faced challenges with internal data quality .
“ The amount of data companies are generating and must manage is growing rapidly , and this will only accelerate as more organisations utilise AI technology ,” said Alyssa Blackburn , Director of Information Management , AvePoint .
Many companies experience gaps in data readiness and information management that have already or will pose significant obstacles to safe and successful AI implementation .
“ If organisations don ’ t establish or adapt their information management strategies , the challenges they are already facing will be exacerbated by AI . The good news is 77 % of organisations recognise they
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