Three Important Numbers Explaining the Enterprise AI Gap: 36, 85, and 14
Research examining success and preparedness gaps in enterprise AI projects through the numbers 36, 85, and 14 draws attention to clean data and integration challenges.
While corporate leaders strive to ensure their artificial intelligence strategies operate reliably in business processes, the numbers 36, 85, and 14, based on Salesforce and Gartner data, reveal the root causes of the enterprise AI gap.
According to research conducted by Salesforce with more than two thousand AI leaders, 36 percent of organizations achieving real returns identify clean and accessible data as their strongest indicator of success. At the same time, AI-powered credit platforms report operational acceleration and improvement of up to 85 percent, reducing process times from 3 to 5 business days to hours. On the other hand, Gartner data shows that only 14 percent of organizations have truly established a unified customer view.