AI in the Real World: Why 95% of Projects Still Fail to Deliver Value
According to the MIT, 95% of AI projects fail before delivering any return on investment.
The reason? A gap between experimentation and execution.
The reason? A gap between experimentation and execution.
At Terranoha, our approach is driven by curiosity and a hands-on exploration of emerging technologies. When Google DeepMind released Veo 3, its new experimental video generation tool powered by AI, we wanted to understand how it truly performs — beyond the theoretical demos.