Understanding the True Costs of DIY Data Classification vs. Buying Solutions
Join this webinar to grasp the rising costs of classification debt and the vital strategies for maintaining accuracy at scale. Uncover the pitfalls of basic classification systems that miss key proprietary and unstructured data, and evaluate the AI ris...
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What you’ll gain from this webinar:
Delve into the escalating costs of classification debt and understand the essential efforts needed to uphold classification accuracy at scale. Discover the limitations of homegrown classification systems that overlook crucial proprietary and unstructured data. Learn about the AI risks associated with incomplete classification that can hinder governance over AI data access. Gain clarity in decision-making through purpose-built classification that reveals comprehensive insights into your sensitive data, enabling informed actions and transparent communication across your organization.
Key Takeaways:
- Understanding the true cost of classification debt.
- Identifying critical data overlooked by generic LLMs.
- Assessing AI risks linked to incomplete classification.
- Enhancing decision-making with purpose-built classification.
- Improving transparency in data governance.