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

As organizations race to implement AI, many assume that more data equals better AI performance. However, data hoarding—retaining excessive, outdated, or irrelevant data—can reduce AI accuracy, inflate storage costs, and create security vulnerabilities.

This webinar will explore the risks of data hoarding, the impact on AI’s effectiveness, and best practices for data governance that improve AI models while boosting ROI and compliance. Attendees will explore:

• 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