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Wed 11 Nov 2020 17:33 - 17:34 at Virtual room 2 - ML Model Building

Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requirements and Minimum Viable Products. From this, five areas of challenges are presented with the focus on experimentation. In the end, we propose a research agenda with seven questions for future studies.

Wed 11 Nov
Times are displayed in time zone: (UTC) Coordinated Universal Time change

17:30 - 17:32
Talk
Research Papers
Jose CambroneroMassachusetts Institute of Technology, USA, Jürgen CitoTU Wien and MIT, Martin RinardMassachusetts Institute of Technology, USA
DOI
17:33 - 17:34
Talk
Visions and Reflections
Anh Nguyen-DucUniversity of South Eastern Norway, Pekka AbrahamssonUniversity of Jyväskylä
DOI
17:35 - 17:36
Talk
Research Papers
SiminChen University of Texas at Dallas, USA, Soroush BateniUniversity of Texas at Dallas, USA, Sampath GrandhiUniversity of Texas at Dallas, USA, Xiaodi LiUniversity of Texas at Dallas, USA, Cong LiuUniversity of Texas at Dallas, USA, Wei YangUniversity of Texas at Dallas, USA
DOI
17:37 - 17:38
Talk
Research Papers
Rangeet PanIowa State University, USA, Hridesh RajanIowa State University, USA
DOI Media Attached
17:39 - 17:40
Talk
Student Research Competition
Joshua GisiNorth Dakota State University, USA
DOI
17:41 - 18:00
Talk
Paper Presentations
Jose CambroneroMassachusetts Institute of Technology, USA, Rangeet PanIowa State University, USA, Simin Chen, Wei YangUniversity of Texas at Dallas, USA, M: John-Paul OreNorth Carolina State University