From being the only woman in the room to empowering the next generation
summary
Panel gives concrete, repeatable moves: organized a 60‑person meetup that escalates into visibility and a Google Developer Expert path; affinity groups made official so allies join and HR backs programs; practical adoption strategy of use off‑the‑shelf models so domain experts ship ML without reinventing training pipelines; career tactics—ask for responsibility, negotiate, document impact—and start with safe experiments (small daily learning or one project) that reliably build into promotions and broader impact at scale.
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chapters (10)
- 0:00Start
- 0:17Panelists
- 2:08How Did You Get Started in Machine Learning
- 4:59What Have You Found To Be Key Skills To Navigate into Different Roles in Tech
- 5:38Soft Skills
- 17:09How Should Average Women Engineers like Me Find a Place To Keep Working on Technical Projects
- 20:31Which Industry Do You Think Will Benefit from Ml in the Following Years
- 25:51What Is One Ml Trend That Excites You Right Now
- 26:59The Adventures of Women in Tech How We Got Here and Why We Stay
- 28:33How Do We Own Our Awesome
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