Description
The data and AI landscape is rapidly evolving, yet women remain underrepresented in key decision-making roles. While technical skills are crucial, confidence, leadership, and visibility are equally important for career advancement in data-driven industries. In this session, Sheena Yap Chan, keynote speaker, author, and advocate for women’s empowerment, will explore the power of confidence and self-advocacy in data and AI careers.
Through real-world examples and research-backed strategies, Sheena will discuss how women can navigate challenges such as imposter syndrome, workplace biases, and limited representation to become influential leaders in data and AI. She will also highlight the importance of mentorship, networking, and personal branding in advancing careers, while showcasing how diverse leadership in data and AI leads to better innovation, decision-making, and ethical AI solutions.
This talk is for professionals at all levels—whether you’re just starting out or looking to step into leadership. Attendees will leave with actionable strategies to build confidence, elevate their careers, and advocate for more inclusive, data-driven decision-making in the AI era.