AI Engineering - How can Software & Requirements Engineering Help Solving the "AI Dilemma"
Speaker: Walid Maalej – Hamburg, GermanyTopic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
Abstract
AI and Software Engineering have co-evolved and profited from each other since their beginnings. During the last decade, Software Engineering has particularly profited from advances in Machine Learning and in Natural language Processing. By now, recommender systems, prediction models, and bots have become standard tools to support software engineering tasks: from requirements elicitation and documentation, to code generation and quality assurance.
The current decade will however be focusing on the opposite direction, i.e. how can AI profit from Software Engineering. This lecture will show how recent challenges faced by the Machine Learning, NLP, as well as the Data Science communities are primarily engineering challenges. The lecture lays out how traditional as well as modern Software and Requirements Engineering can help address these challenges: in order to increase the applicability, acceptance, and reliability of AI-based systems in practice.
About this Lecture
Number of Slides: 20 - 60Duration: 20 - 60 minutes
Languages Available: English, German
Last Updated:
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