In conclusion, using machine learning models in practice requires careful, rigorous work at every step, from training to the validation of the models and their integration into the production system. Therefore, with proper guidelines including the choice of the right infrastructure, proper versioning as well as tracking of changes made, increased and proper testing as well as monitoring, companies can fully express the potential of AI to enhance their innovation and hence gain a competitive edge.