Though important for its design, development and maintenance, information about the usage of a product is not always available. Large-scale data collection can provide the necessary insights, and AI and ML technologies can help you exploit this data, to make more accurate assumptions and address existing challenges. In the context of the AI4DETAIL project, which had building and capturing knowledge about the potential AI for data-driven usage monitoring as its primary aim, a casebook and several Starter Kits were developed to help companies with data innovation and AI.
