Addressing the industrialization of AI and ML development and operations, the IML4E project will develop the IML framework that provides methods, techniques and tools that are dedicated to deliver and maintain high quality smart software in efficient, scalable and manageable processes. The framework will directly address the specifics of AI and ML by providing automation and reusability in the data and the training pipeline and will support continuous quality monitoring for different types of machine learning. IML4E will design the IML4E framework and its solutions in such a way that they
- integrate seamlessly with existing best practises in software engineering, data science, and ML.
- fit in industrial settings, i.e. by means of case studies that heavily rely on AI and ML from relevant European industrial domains like e-Health, industrial IoT, invoicing operations, building automation, and consulting business.
- are relevant European and international standardization bodies (e.g. DIN, ETSI, ISO) that deal with the standardization of methods dedicated to the development of AI and ML.
- support the European software development and data science industry with open source tools and frameworks dedicated to the development of AI.