Most C-suite executives know they need to integrate AI capabilities to stay competitive, but too many of them fail to move beyond the proof of concept stage. They get stuck focusing on the wrong details or building a model to prove a point rather than solve a problem. That’s concerning because, according to our research, three out of four executives believe that if they don’t scale AI in the next five years, they risk going out of business entirely. To fix this, we offer a radical solution: Kill the proof of concept. Go right to scale.
A Radical Solution to Scale AI Technology
Nix the proof of concept.
April 13, 2020
Summary.
The companies that kill proof of concept for AI technologies attempt scaling twice as often, succeed at their scaling initiatives twice as often, and end up spending less money on pilots and fully scaled deployments. The result? They achieve nearly three times the return on their AI investments when compared to their lower-performing counterparts. Additionally, successful scalers report significant benefits in customer service and satisfaction to workforce productivity to how efficiently the companies utilize their assets.