Is Your Data Lake AI Ready?

Despite growing investment, many organizations remain stuck in pilot mode, unable to scale AI initiatives into real business impact.

This white paper explores what it means to be AI-ready and why traditional data lakes and early lakehouse architectures often fall short.

Inside, you’ll learn:

• What modern AI workloads demand from data platforms
• Why governance, automation, and trust are now mission-critical
• A practical, five-pillar framework for evolving existing data lakes without disruption

If you’re under pressure to move AI from experimentation to production, this guide shows where to start and what to fix first.