THE ROLE OF DIVERSITY IN TRAINING DATA FOR ROBUST AI APPLICATIONS

Exploring the role of diversity in training data is critical for crafting fair and effective AI systems across various industries. In this presentation, Dr. Hrishikesh Deshpande will walk us through how diverse datasets can improve model accuracy, mitigate bias, and enhance real-world applicability. He will help us understand the challenges in achieving data diversity and offer practical strategies for incorporating mitigations into the development of AI systems.

This discussion aims to provide valuable insights for professionals from diverse disciplines, highlighting the universal importance of diversity in data to advance AI technologies that can serve all of society.

This free online webinar is part of the Diversity Circle at PMI Germany Chapter and is open to anyone interested in AI, Data, and Diversity. Access details will be shared with all registered participants. Attending this event will fetch you 1 PDUs towards your PMI certifications.

About the speaker:

Dr. Hrishikesh Deshpande is an AI/ML Leader with a 15-year career trajectory in leading the research and development of healthcare AI innovations. With a Ph.D. from INRIA Rennes France, he has delivered impactful AI solutions for medical device companies in India and Germany through his technical contributions and team leadership. He is a co-inventor of over 30 patents and has authored 10 scientific publications.

Hrishikesh actively volunteers in the scientific community and supports the PMI Germany and Finland chapters, engaging in various initiatives since earning his PMP certification in March 2024.

 The event will be held in English.