stage , the organisation must identify the specific changes needed to execute the roadmap effectively .”
With new measures in place , the next step is to look at the remediation of legacy data and information . According to Hana , as AI adoption accelerates , prioritising legacy data remediation becomes essential to ensure data quality , integrity and security , which are critical to the successful implementation of AI systems .
“ However , reviewing all legacy data and technology is a time-intensive process that cannot be accomplished manually ,” she adds . “ To address this challenge , organisations should look for technological solutions that can identify , remediate , and automatically classify digital content to effectively remove redundant , outdated or trivial data .
“ Developing and implementing a comprehensive information governance strategy is crucial for organisations to effectively manage their information assets , mitigate risks and ensure compliance .”