Your AI Initiatives Are Only as Strong as Your Data

AI is at the top of every boardroom agenda, but most organizations aren’t prepared to scale it. According to Gartner, through 2026:

• 60% of AI projects will fail without AI-ready data practices

• 30% of GenAI projects will be abandoned after proof-of-concept due to poor data quality and unclear value

• Yet, 75% of organizations rank AI-ready data as a top investment priority

This report from Gartner lays out a practical journey for data and analytics leaders to deliver the data foundation AI success requires.

Build a foundation for AI that scales and performs

Inside the report, Gartner outlines the four critical steps for building AI-ready data:

• Get Grounded & Gain Foresight: Understand what “AI-ready” data really means and how to benchmark your organization’s readiness

• Define Value & Gain Executive Buy-In: Build the business case to secure board-level support and funding

• Execute, Implement & Scale: Evolve your data management practices, architectures, and tools for AI

The AI moment is now. Don’t get left behind.

Whether you’re just starting with AI or scaling enterprise-wide initiatives, this report provides:

• Research-backed benchmarks from Gartner surveys

• Best practices to evolve traditional data management into AI-ready practices

• Recommendations for tools, architectures, and governance models

• A roadmap to avoid common AI pitfalls and accelerate value delivery