Wrong DATA In Eco System: Dangers With AI

A Gartner survey found that 63% of organizations lack proper data management for AI. Without AI-ready data, businesses risk AI project failures. By 2026, 60% of AI initiatives may be abandoned due to poor data practices. CIOs and CDAOs must rethink traditional methods to integrate AI effectively.

Gartner advises businesses to iteratively enhance existing data systems with AI-specific innovations like vector data stores and retrieval-augmented generation. AI-ready data is an ongoing process requiring strong metadata management, data observability, and governance. Organizations must align data with AI use cases, ensure compliance, evolve metadata, refine data pipelines, and continuously test data quality.

Effective governance is essential as businesses scale AI operations. Enterprise Governance of AI (EGoAI) helps companies make responsible decisions. Without robust metadata management, AI-readiness remains challenging. CIOs and CDAOs must refine governance and data strategies to harness AI’s full potential. Gartner will discuss these insights at its June 2024 summit.