Developing a successful AI strategy with the aiSTROM framework

A large amount of AI projects fail. Rackspace Technology's survey estimates the number at a whopping 34% [2]. Much of this failure is due to management not understanding the risks and intricacies of AI technologies and, vice versa, developers not knowing how to scale the technologies or the business needs. Many managers seem to think that AI projects will be just like typical software project, however, there are specific challenges involved. These challenges may relate to the skills required in the team, legal issues requiring model transparency, big data governance, cultural challenges for adoption, and many more.