Breaking Barriers: Empowering Women in AI, Embedded Vision, and Tech Leadership

The fields of AI, embedded vision, and computer vision are revolutionizing industries, from healthcare and manufacturing to autonomous systems and smart cities. However, women remain underrepresented in these cutting-edge technologies, often facing barriers such as gender biases, self-doubt, and limited leadership opportunities. While technical expertise is essential, confidence and self-advocacy are critical factors in driving career success and fostering diverse, innovative teams in embedded vision and AI.

In this engaging session, Sheena Yap Chan, keynote speaker, author, and advocate for women’s leadership in technology, will explore how self-confidence can empower women to break barriers, advance in AI and embedded vision fields, and take on leadership roles. Drawing from her book, The Tao of Self-Confidence, Sheena will share strategies for overcoming imposter syndrome, amplifying one’s voice in technical discussions, and fostering diversity in the vision AI space.

Through real-world success stories, research-backed insights, and practical exercises, attendees will learn how to develop a leadership mindset, advocate for themselves in technical environments, and contribute to a more inclusive and innovative embedded vision industry.