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"Empower Agentforce with Trusted Data: 5 Data Governance Strategies for Enterprise AI"

By 2027, organizations will generate 291 zettabytes of data, requiring strong governance for secure AI adoption. This white paper explores five key pillars--access, accuracy, privacy, security, and retention--and how unified platforms enable trusted strategies that balance innovation and compliance. Download now for AI governance insights.

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.

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