How CDOs are scaling AI adoption without hiring more engineers

Data teams face overwhelming demand they cannot meet, with 80% of engineering teams struggling to keep pace by 2025. AI initiatives worsen this, as 90% of AI and analytics project failures result from people and process bottlenecks, not technology limits.

This e-book reveals how agentic data engineering tackles these issues using AI-powered agents to plan, build, and maintain pipelines—cutting manual effort by up to 95%. Explore three key enterprise strategies:

· Consolidating platforms to reduce technical debt
· Augmenting humans to clear backlogs and boost capacity
· Accelerating roadmaps to deliver AI-ready data in weeks

Learn how top organizations scale AI now.