Council Post: Data Privacy Within Generative AI & Considerations For The Enterprise

With AI on the rise, securing data through encryption and strict controls is crucial. Experts highlight the need for transparency, ethics, and compliance to earn consumer trust. Discover essential insights on AI best practices.
As enterprises increasingly adopt generative AI, managing sensitive data, especially first-party consumer data akin to PII, becomes crucial. Ensuring data privacy and security within cloud platforms is the first step before diving into predictive or prescriptive analytics. In a recent roundtable, Aravind Peddiboyina, AI Innovation & Global Analytics Delivery Leader at Kimberly-Clark, Senior Director at a Healthcare Company, Avijit Chatterjee, Head of AI/ML at Memorial Sloan Kettering Cancer Center, and Vinod Malhotra, CTO at Perceptyx, shared their insights. They discussed the challenges of data storage, security policies, customer data usage rights, and compliance with regulations such as HIPAA. Emphasis was placed on transparency, ethical considerations, and the need for strict
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Picture of Abhijeet Adhikari
Abhijeet Adhikari
Abhijeet Adhikari is a Research Associate at AIM-Research, focusing on AI and data science related research reports. Beyond his professional role, Abhijeet is an avid reader with a particular interest in historical and mythological facts, you can reach him at abhijeet.adhikari@aimresearch.co
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