Turning Biased Feedback into Fuel with Michelle Yi of Basis and Women in Data

In this episode, I’m joined by Michelle Yi, startup mentor, advisor, and founder, and a board member of Women in Data, to learn more about her leadership journey in the data industry. Michelle has had such a cool career path in the data and AI industry, she shares more about how she started her career at IBM at the age of 16 (she started university when she was just 13 years old!!), where she worked on AI research and IBM Watson. She also shares her experiences working in consulting and on practical applications of AI, how she founded her own company and raised a seed round, and her more recent focus on startup mentoring, board advising, and her board member position with Women in Data. We also spent discussing the debate of open source/science vs. the monetization of AI and some of the practical benefits that open source communities provide. Michelle and I also chat about some biased feedback that women in technical roles often hear, and how you can navigate that.Episode Links:Women in DataWatson and the Jeopardy ChallengeLinkedIn discussion: open source vs. monetizationhttps://www.basis.ai/about/https://yulle.substack.com/