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In development and implementation of AI-based systems , the main challenge is not to develop the best models/algorithms, but to provide support for the entire lifecycle – from a business idea, through collection and management of data, software development managing both data and code, product deployment and operation, and to its evolution. There is a clear need for specific support of Software Architecture for AI. In this talk we will show the different aspects of a Software Architect has to master to integrate AI-based technologies, like for instance patterns for AI-based solutions, mastering a new development approach or handling requirements and safety issues with AI-based systems.
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