Data accuracy, granularity, and diversity are critical for training AI models to assure/predict issues with real-time networks; detect critical events; and enable accurate, closed-loop feedback toward achieving an autonomous network.
[#item_full_content] Data accuracy, granularity, and diversity are critical for training AI models to assure/predict issues with real-time networks; detect critical events; and enable accurate, closed-loop feedback toward achieving an autonomous network. Read More Cisco Blogs