The Data Dilemma: How Data Hoarding Hurts AI Accuracy, Security and ROI

Thank you for joining our webinar. As organizations raced to implement AI, many assumed that more data equaled better AI performance. However, data hoarding—retaining excessive, outdated, or irrelevant data—reduced AI accuracy, inflated storage costs, and created security vulnerabilities. This webinar explored the risks of data hoarding, its impact on AI’s effectiveness, and best practices for data governance that improved AI models while boosting ROI and compliance. Attendees explored:

• Why organizations tend to accumulate excessive data and the myth that more data improves AI performance
• The hidden costs of data hoarding such as security vulnerabilities and data lakes
• How excessive data retention increases GDPR, HIPAA, and NIST violations
• The process of automating data cleaning, deduplication, and structuring
• Examples of organizations that overcame data hoarding challenges and improved AI efficiency