AI demand overwhelms data teams, with 80% unable to meet requirements and 90% of projects failing due to bottlenecks. Agentic data engineering uses AI agents to automate pipeline tasks, cutting manual effort by 95% while ensuring oversight. This enables faster AI deployment and transformative enterprise solutions.
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.
Offered Free by: Matillion
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