Council Post: Why Do Most AI Projects Fail?

Most companies that adopt AI into their workforce follow a similar pattern of implementation. They think of a perfect proof of concept and partner with an AI vendor that promises to launch this system for them. Time, money and effort are expended in ample amounts to ensure that the project succeeds. Even after all this processing, many implementations hit a dead end. This failure occurs because AI integration into an already working system is an immensely difficult task. To do so requires not only a top-notch AI system, but also a good connection with the existing system.