Hardial Singh has spent over 15 years designing data and AI systems for organizations where failure carries real consequences. His work in healthcare, finance, insurance, and telecommunications has focused on building architectures that perform at petabyte scale while meeting strict regulatory requirements. At organizations including Kaiser Permanente and Cleveland Clinic, he led initiatives that balanced analytical ambition with the privacy and compliance demands unique to healthcare data. His technical expertise spans hybrid cloud modernization, zero-trust security, MLOps, and generative AI governance. Singh holds a Master of Science from California State University, Northridge, and a background in mechanical engineering that continues to shape how he approaches system design. In this conversation, he discusses what regulated industries teach you about architecture, why governance determines whether AI initiatives succeed or stall, and the capabilities enterprises will need as AI becomes embedded deeper in business operations.
https://aijourn.com/building-enterprise-ai-that-earns-trust/
The AI Journal