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AI: Infrastructure | Architecture
AI-Enabled University provides a Community of Practices for the collaboration of:
A robust Infrastructure for AI that focuses on research computing through advanced MLOps (Machine Learning Operations) platforms, enabling efficient management of the entire machine learning lifecycle. This infrastructure empowers researchers to conduct groundbreaking studies and accelerate innovation.
Additionally, a comprehensive AI Architecture facilitates seamless technology adaptations and AI application deployment, ensuring that AI technologies are effectively integrated into various domains. By incorporating robust risk management protocols, we address ethical, privacy, and security concerns, promoting responsible AI use and safeguarding the interests of all stakeholders while enhancing educational and operational processes.