This podcast episode features Shir Meir Lador, Engineering Manager at Google and former WiDS Tel Aviv Ambassador, in conversation about her career path and her work at the forefront of AI innovation. The discussion explores the emerging world of AI agents and Google’s Agent Development Kit (ADK), highlighting what it takes to move from prototypes to production while building responsibly. Shir also shares her experiences navigating career risks, fostering growth, and the powerful role of community through her work with WiDS. Her journey demonstrates how technical expertise, leadership, and inclusive community-building can intersect to drive both innovation and impact.

This podcast episode features Sohini Sarkar, Principal Product Manager and Senior Team Lead at MathWorks, discussing her career journey and offering advice to listeners. The conversation explores her transition from academia to the corporate world, her passion for product management, and her approach to balancing technical expertise with leadership responsibilities. Sohini’s career path highlights the importance of self-discovery and the willingness to deviate from predetermined expectations.

Claudia Perlich, a leading expert in predictive modeling shares about her work and views on the challenges of using AI and machine learning systems. Perlich discusses the importance of understanding the uncertainty and biases inherent in these models, and the need for careful evaluation and testing before deploying them, especially in high-stakes domains. She emphasizes the collective responsibility of data scientists, domain experts, and decision-makers to ensure these systems are used responsibly and equitably. She also shares insights on the skills and mindset needed for a successful career in predictive modeling, highlighting the value of data curiosity, scientific thinking, and effective communication.