The Structure around Real World Problems: Decisions, Knowledge, and Meaning

Explore a thought-provoking conference talk delivered by Dragos Margineantu, Boeing Senior Technical Fellow and AI Chief Technologist, at KDD2024. Delve into the intricate structure surrounding real-world problems, focusing on decisions, knowledge, and meaning in the context of applied data science. Gain insights from Margineantu's extensive experience in AI research and engineering, covering topics such as robust systems, autonomous commercial flight, anomaly detection, and reasoning under uncertainty. Learn about his pioneering work in ensemble learning, cost-sensitive learning, and statistical testing of learned models. Discover how machine learning solutions have been applied to various Boeing projects, including autonomous flight, manufacturing, and airplane maintenance. Benefit from the speaker's diverse background, including his roles as a DARPA research project PI, academic advisor, and Machine Learning journal editor. Understand the importance of bridging theoretical concepts with practical applications in the field of data science and artificial intelligence.

KDD2024 - The Structure around Real World Problems: Decisions, Knowledge, and Meaning