AI Agents Revolutionize Data Prep with Collaborative Governance
Summary
Multi-agent AI systems revolutionize data preparation, using autonomous agents collaborating on specialized tasks like ingestion, transformation, and quality assurance, delivering trustworthy data at scale with embedded governance and continuous learning, reducing manual effort.
Key Points
- Multi-agent AI systems use autonomous agents to transform data preparation, governance, and usability with humans in the loop
- Agents collaborate by handling specialized tasks like data ingestion, transformation, quality, and validation, solving problems more efficiently
- With embedded governance and continuous learning, agents deliver trustworthy, high-quality data at scale while reducing manual effort