Research and Analysis of IT Specifications of Good Practices in the Area of Artificial Intelligence

This article is a contribution within the Erasmus+ project titled "The Future Lies in Applied Artificial Intelligence" (FAAI) and examines research of collected IT specifications of good practices in Area of Artificial Intelligence (AAI). The article describes research conducted, the purpose of which is to find IT specifications of good practices in AI and describe their characteristics, like an area of implementation of the AI solution, the result of processing the data, the source of data, Data processing, and quality, what tools are used for processing data, and others. AAI application cases and the technologies used for implementation are reviewed. The specifics of the data and the applications used are described. The examination of these technologies will provide insight into which ones are favored and provide an overview of what is commonly referred to as "best practices" in this particular domain.The research encompassed a global examination of cases. The analysis of the data offers valuable insights in various directions:•Application area of ML/AI•Type of machine learning problems in described good practices in Artificial Intelligence•Type of models were developed within the projects•What is the area of implementation of AI solution•Used AI libraries (frameworks).•Source of data•Data characteristics•Tools are used to store data•What platform solution is used•What type of storage is usedThe research and analysis done provide a clear picture of the used IT specifications of good practices in AI. The obtained results will guide in what areas to organize the practical training in the preparation of specialists in the AAI. Also, this research would help future AI application developers.