5 essential strategies to govern data for enterprise AI success

The convergence of data growth and AI advancement is creating challenges for enterprise leaders. With nearly 300 zettabytes of data expected by 2027 and 64% of CEOs prioritizing AI, organizations must manage data securely while unlocking AI's potential. Many struggle with data governance—not as a one-time task, but as an ongoing strategy balancing innovation, compliance, and trust.

This white paper outlines five pillars for data governance to empower AI agents. Learn to:

· Tighten data access controls
· Improve accuracy with unified streams
· Strengthen security with encryption

Read the white paper to transform data into a strategic AI asset.