This session highlights projects in the private sector, government, and academia that have used Python software libraries to power applications utilizing artificial intelligence, machine learning, and other data science techniques for earth, oceanic, and atmospheric science problems. The presenters are encouraged to discuss the details of how they have implemented these systems and discuss both their successes and the challenges they have overcome or still face. Following the presentations, there will be a panel discussion featuring all of the presenters where they can answer more questions from the audience about incorporating and scaling AI systems. If there are a large number of submissions to this session, then a poster session will be added following the oral session to highlight other scalable AI and Python systems.

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