While leading digital transformation at Tesla’s Shanghai factory, Zhitao Gao
realized that 80% of engineering time is spent on analysis, not on action. Yet
analysis is exactly what AI excels at. His data-driven approach reduced scrap by
$15 million due to yield improvements, reduced planned line ramp-up time by 6
months, and provided 2-day advance notice of anomalies with 95% accuracy.
In this AGX session, we will explore how AI can improve engineering efficiency by
automating time-consuming activities like process design, root cause analysis,
and hypothesis generation, freeing up engineering teams to focus on implementing
solutions, rather than analyzing documentation.
Speaker: Zhitao Gao, former Tesla China DX Lead
Moderator: Erik Walenza (AGP, AmCham Shanghai)
Who Should Join: IT, Ops & Engineering Leaders scaling AI in manufacturing
RSVP: rsvp@asiagrowthexchange.com