Increasing the participation of women in crucial technical AI jobs necessitates more than simple recruitment efforts; it also necessitates building an inclusive culture and providing access to and opportunities for development and promotion.
Despite the increasing need for AI, at least one skill pool that may assist corporations in achieving their AI goals has gone virtually untapped—women. However, according to a 2020 World Economic Forum study, women make up just 26% of data and AI roles in the workforce, while the Stanford Institute for Human-Centered AI’s 2021 AI Index Report indicated that women make up only 16% of tenure-track academics concentrating on AI internationally. For a long time, there has been continuous and unchanging gender diversity in AI.

Kathy has established four technological companies from the ground up, with a combined revenue of $60MM. Artificial intelligence, machine learning, probabilistic modelling, and big data methods were essential IP for all four companies. Building successful businesses requires a diverse workforce. The staff at Crux Intelligence not only mentors but also employs women. Data scientists, machine learning professionals, and artificial intelligence engineers account for 38% of its workforce (while “big tech” averages at ~25%).
Her advice for aspiring businesswomen is to become an entrepreneur much earlier, be kind to yourself, and make life decisions based on being true to your internal compass.
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