From Chaos to Clarity: A CDO’s Guide to Unstructured Data for GenAI Success

Unstructured data has emerged as a central focus in the GenAI era, offering remarkable opportunities to boost growth and secure a competitive edge. However, this data also presents significant challenges for Chief Data Officers (CDOs) tasked with its effective governance. Traditional tools prove insufficient for managing unstructured data, necessitating new, unique capabilities to leverage it in GenAI applications.

Key questions include: How can we discover, classify, and catalog unstructured data? Which users have access to sensitive data within unstructured datasets? What measures can prevent the exposure of sensitive information? Is the data relevant, current, and free from duplicates? Which policies and regulations are applicable to unstructured data? How do we trace the provenance of data from unstructured data systems to GenAI models and endpoints?

Join Jack Berkowitz, Chief Data Officer at Securiti, as he explores how CDOs can adopt a comprehensive approach to unstructured data management, safely unlocking its potential and effectively operationalizing GenAI.

Key Takeaways:

• The rise of unstructured data in the GenAI era
• Challenges faced by CDOs in governing unstructured data
• New governance capabilities required to harness unstructured data for GenAI applications