The AI Insider: Data Curation and Privacy Mastery
Overview
Ever wondered how synthetic data could revolutionize AI models? In this episode of the Data Bytes Podcast, Jigyasa Grover, AI & Research Lead at Bordo AI, unpacks the power of synthetic data and its role in filling crucial gaps in machine learning. Jigyasa also dives into the importance of curating high-quality datasets and how to mitigate bias, especially in generative AI projects. With a wealth of experience across Twitter, Facebook, and open-source communities, she highlights the significance of data privacy and the ethical challenges AI developers face today. For aspiring women in tech, Jigyasa offers invaluable advice on navigating a fast-evolving industry while staying true to your goals.
About Jugyasa:
Jigyasa Grover is a trailblazer in the field of artificial intelligence, currently serving as the AI & Research Lead at Bordo AI. With a strong background in machine learning and data science, she has developed and deployed large-scale AI systems at leading tech companies like Twitter, Facebook, and Faire. Jigyasa is a Google Developer Expert in Machine Learning, a member of the Google Developer Advisory Board, and a passionate advocate for open-source contributions. Co-author of the acclaimed book Sculpting Data for ML, she is deeply committed to advancing AI while promoting ethical standards and data privacy. As a mentor and advocate for women in tech, Jigyasa frequently shares her expertise through keynotes, workshops, and mentorship, inspiring the next generation of AI professionals.
Social Handle: https://www.linkedin.com/in/jigyasa-grover/
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