In the first part of the guide you'll find all the steps to follow before implementing Artificial Intelligence in your business; for example use-case definition, regulations and compliance check, data governance and data cleaning.

In the second chapter, you'll get the process to safely implement AI in your business, including choosing to develop AI in-house, or buy a ready-to-use solution, testing, educating the team, and monitoring the performance.

In the last section of this guide you'll read what to do "after" the AI implementation, like monitor the KPIs, track the performance, optimize, update and improve the AI models and share the results with the team.