5 essential strategies to build trusted data governance for AI

Organisations face pressure to manage growing data volumes while implementing AI solutions like autonomous agents. With global data projected to hit 291 zettabytes by 2027 and 64% of CEOs prioritising AI, robust data governance is a strategic imperative.

This white paper outlines a framework for trusted AI foundations through five governance pillars, balancing innovation with control and ensuring compliance with regulations like the EU's AI Act.

These pillars include:

• Tightening data access controls
• Enhancing accuracy with unified models
• Implementing privacy protections
• Strengthening security with encryption and threat detection
• Ensuring data retention

Read the white paper to empower AI initiatives.