In accordance with two current Gartner experiences, 85% of AI and machine studying tasks fail to ship, and solely 53% of tasks make it from prototypes to manufacturing. But the identical experiences point out little signal of a slowdown in AI investments. Many organizations plan to extend these investments.
Many of those failures are avoidable with somewhat commonsense enterprise pondering. The drivers to take a position are highly effective: FOMO (concern of lacking out), a frothy VC funding bubble in AI corporations with huge advertising budgets, and, to some extent, a recognition of the real must harness AI-driven decision-making and