Episode 92: Inside the Black Box with Shi Shi

Episode 92: Inside the Black Box with Shi ShiPart of our "Badass Women in Media" series brought to you by our amazing sponsor Equativ. Shi Shi, Head of Data Science & ML at Equativ, debunks the myth that AI manipulates consumers; it's actually filtering out irrelevant ads. She breaks down data science vs. machine learning, explains why AI doesn’t have to be a black box, and highlights a startling stat: by 2028, 12% of U.S. energy may power AI. She also discusses fixing ad redundancy, her leap from corporate to startup life, and why owning your expertise matters, especially in unequal environments.About Shi Shi: Shi Shi is the Head of Data Science & Machine Learning Engineering at Equativ, where she leads the development and application of advanced data science and AI-driven solutions that power smarter, more inclusive programmatic advertising. With a background in statistics, data science, and leadership, she champions culturally intelligent, privacy-first AI—bringing human context and ethical insight to the forefront of machine learning systems.This episode has been brought to you by Equativ. Equativ is a global, end-to-end media platform empowering advertisers and publishers to achieve real outcomes by uniting premium inventory, dynamic creative formats, and engaged audiences with advanced curation and AI-powered ad tech across all channels. Purpose-built for the attention economy, Equativ delivers quality, engagement, and performance while prioritizing respectful, user-centric ad experiences. With a team of over 750 professionals across 19 countries, Equativ combines global scale with deep local expertise. Learn more at Equativ.com.Website: https://www.equativ.com/LinkedIn: https://www.linkedin.com/company/equativ/Instagram: https://www.instagram.com/equativ__/YouTube: https://www.youtube.com/@equativ