NVIDIA GTC 2021 Panel Discussion

Online, 10th Nov 4:00pm-5:30pm 

How Can We Bridge the Diversity Gap in Data Science and AI? 

While data science and AI are the fastest-growing roles, women hold only a minority of these positions. According to World Economic Forum data, only 22% of AI professionals globally are women, and fewer than 1% of the applications received by companies for expert-level positions come from women. Bridging the gender gap in AI will assist in scaling up AI and raising the research level by increasing the pool of talent, as well as lowering the algorithmic gender bias by having more women training the algorithms. In this talk, join Louis Stewart, head of strategic initiatives for NVIDIA Developer Ecosystem, will lead a panel discussion on how to get more women into AI. The talk will also feature Tova Milo, a full professor of computer science at Tel Aviv University and the dean of the Faculty of Exact Sciences; Ortal Dayan, the founder of W.AI; and Nashlie Sephus, a tech evangelist at Amazon Web Services. Topics include causes, challenges, and how we can assist more women into the field—mainly by running community courses to strengthen theoretical understanding and programming skills, mentoring opportunities for receiving advice (both technical and for career planning), and supporting enrollment to advanced degrees with an emphasis on machine learning.

Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem, NVIDIA

Nashlie Sephus, Founder,

Ortal Dayan, Founder, W.AI

Tova Milo, Dean of the Faculty of Exact Science, Tel Aviv University

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