In absence of universal best practices, multiple other challenges of real AI use are to be learnt through own hands-on projects. This includes defining restrictions and targets for AI to optimize, building the new culture tolerant to experiments and failures, resolving the matters of trust and responsibility for the automated decisions, learning to collect the right data, and so on.
Designing some high-level AI strategy from scratch is likely to become a costly mistake unless it is built on the foundation of real experience of working with the technology. Starting with local, isolated projects is the best, and seemingly the only way to prepare for the AI future. We encourage all companies to start on their AI journey as soon as possible, to not miss out on what is going to become one of the most disruptive changes for the whole industry. Curious how to start your first industrial AI project? Reach out to us.