What is difference between AI and ML ops

Question

Accepted Answer

AI Ops focuses on managing and deploying artificial intelligence models, while ML Ops focuses on managing and deploying machine learning models.

AI Ops involves managing and deploying artificial intelligence models, which may include deep learning, natural language processing, and computer vision.
ML Ops involves managing and deploying machine learning models, which typically involve statistical algorithms and data analysis.
AI Ops often requires more computational resources and specialized hardware compared to ML Ops.
ML Ops focuses on the entire machine learning lifecycle, including data preparation, model training, deployment, and monitoring.
Both AI Ops and ML Ops aim to streamline the process of developing and deploying AI and ML models in production environments.

Top HR questions asked in Red Hat Principal Scientist