TRENDING
Many companies experience gaps in data readiness and information management that have already or will pose significant obstacles to safe and successful AI implementation .
• 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 .
President & CEO , Association for Intelligent Information Management ( AIIM ).
“ The data shows that organisations who invest in their information management strategy can realise the benefits of AI faster than organisations who lack a comprehensive information management strategy .”
This year , organisations are significantly increasing their investments in AI , with 83 % planning to increase their AI spending and 79 % investing in licensed AI such as Copilot for Microsoft 365 .
In addition , 60 % of organisations plan to allocate at least a quarter of their technology budget to AI in the next 5 years .
“ 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 .
“ 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 must implement additional strategies to keep pace with AI , which is a promising step in the right direction .”
Additionally , effective IM strategies can lead to a meaningful return on AI investments , according to the survey .
• Organisations with mature IM strategies are 1.5x more likely to realise benefits from AI than those with less mature strategies .
• Despite this correlation , not enough organisations acknowledge the value of information management in AI success , with only 17 % recognising a robust IM strategy as the most effective way to ensure ROI on their AI investments .
“ We are pleased to support this important study , which confirms the importance of an information management strategy to successful AI implementation and operationalisation ,” said Tori Miller Liu , CIP ,
However , less than half of organisations ( 46 %) offer AIspecific training , hindering their employees from safely using and optimising this technology .
“ As organisations increase their investment in AI , a comprehensive and holistic accountability program for both data privacy management and AI governance is even more critical ,” said Bojana Bellamy , President , Center for Information Policy Leadership ( CIPL ).
“ In addition , good data management and AI governance must extend beyond legal compliance ; it is essential for achieving long-term , sustainable business success and competitiveness , as well as for building public trust and maximising the beneficial impact of AI .”
AvePoint conducted its AI & Information Management study in collaboration with AIIM and CIPL to better understand the intersection of AI and information management and how information management practices were impacting AI implementation .
By partnering with Qualtrics , AvePoint surveyed 762 respondents from 16 countries and regions , representing 10 different industries and varying organisational sizes .
The survey was designed to target managers , directors , vice-presidents , and C-level executives , with primary or shared responsibility for AI implementation . p
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