The Need for Machine Unlearning in Enterprise AI Applications

Machine unlearning enables AI systems to selectively ‘forget’ specific data, ensuring compliance with privacy regulations while enhancing efficiency in enterprise applications.
Dr. Rajan Gupta is an AI Professional with 15+ years of combined experience in AI/ML Product & Services Delivery, Analytical Research, Consulting, and Training, in various industries and domains like EdTech, HealthTech, Telecom, Retail, Manufacturing, and the likes. He is currently working as the Director of Data Science & AI/ML at Digital Labs of Deutsche Telekom, Europe's leading digital teleco which is a Fortune 500 company & 11th most valuable global brand. He is part of the AI Leadership, conceptualising and implementing different GenAI and LLM initiatives for solving data problems impacting business growth and optimisation. He holds a doctorate and post-doctorate in data science & AI/ML, and has authored more than 125 publications including 7 books and multiple research papers in Technology and Management. He is recipient of multiple awards and industry recognitions, and is amongst the first of few Certified Analytics Professionals from India to be part of INFORMS ecosystem in United States.
Machine unlearning enables AI systems to selectively ‘forget’ specific data, ensuring compliance with privacy regulations while enhancing efficiency in enterprise applications.