IDC Report | Why AI Projects Fail: Revealing the Data Infrastructure Gap

Topics: AI, AI Strategy, Analyst, Storage

Pages: 28

Company: Everpure

Artificial intelligence has become the number 1 investment priority for organizations worldwide. Enterprises are aggressively pursuing AI initiatives because of the substantial potential benefits: improved customer experience, more efficient staff, accelerated business processes, and, ultimately, stronger financial performance.

Yet, for all the promise and momentum surrounding AI, these projects too often fail to deliver tangible business value. IDC research reveals that more than half (54%) of AI proof-of-concept projects fail to advance to production. This means that the majority of AI project budgets generate zero return on investment.

As organizations grow more experienced and budget conscious, they are moving away from trial-and-error approaches to AI investment. They are becoming more selective about which projects receive funding and more deliberate about what conditions must be met for those projects to succeed.v