Description
As artificial intelligence (AI) workloads grow in size and complexity, and organizations seek to mature their utilization of AI, the need for robust governance, policy enforcement, security, and usability frameworks in the cloud are becoming increasingly sought after. Clouds can provide the necessary elasticity and scalability needed for modern computational science workloads, but cloud usage also introduces new governance challenges. Without proper governance and management structures in the cloud, some organizations risk overspending on elastic compute resources, exposing sensitive data across shared infrastructure, violating compliance requirements in multi-jurisdictional cloud environments, and overwhelming researchers with the complexity of cloud-native AI services and tools.
