60% of AI projects fail without real-time data

gartner predicts 60% of ai projects will fail this year without ai-ready, real-time data. as ai models struggle with the unstructured, constantly evolving web, companies are moving beyond static training snapshots to dynamic infrastructure. this layer retrieves fresh context to combat hallucinations and latency issues, supported by 56% of practitioners who say real-time access is crucial for trust. without scalable, live data integration, even sophisticated models risk producing stale outputs in business environments.