Treffer: AITANA-MOMO: Aitana-MoMo demo

The use of Artificial Intelligence (AI) and Machine Learning is increasingly present in our daily lives, across all fields and sectors, both industrial and personal. This new revolution, with significant benefits in all areas of our lives, allows us to interact with the devices around us, such as mobile phones or smart home devices, and in the industry, with predictive maintenance mechanisms or digital twins, among many other successful cases of Artificial Intelligence. AITANA-MoMo project is motivated by the need to control the quality of the models designed by data scientists and MLOps (Machine Learning Operations, a specific DevOps profile for AI) and aims to facilitate the monitoring and maintenance of AI models in production. This is achieved through a set of tools that enable them to identify potential model degradation issues, analyze new datasets, and make the necessary decisions to generate new models that adapt to the new realities of a production environment. The overall objective of this project is to develop monitoring tools for models in production that facilitate their maintenance and allow for the detection of quality degradation in the models. ; AITANA-MoMo. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2022 with 135.566,10 €. File number: IMDEEA/2022/50