Jeremy's IT Lab CCNA AI & Machine Learning Day 59

[...] AI analyzes historical data to predict future outcomes or trends.

Predictive

[...] AI learns patterns from existing data to create new content.

Generative

[...] is a subset of AI that enables computers to learn from data and improve without explicit programming.

ML

[...] uses computers to simulate intelligence, allowing them to exhibit behaviors typically associated with humans.

AI

Catalyst Center [...] uses AI to automatically identify and classify devices connected to the network.

AI Endpoint Analytics

Catalyst Center [...] uses AI to establish the baseline behavior of the network and provide recommendations for optimizing the network.

AI Network Analytics

Catalyst Center [...] uses AI to optimize wireless network performance by dynamically adjusting radio settings.

AI-enhanced Radio Resource Management (RRM)

Catalyst Center [...] uses AI to perform root-cause analysis and take corrective actions when network issues arise.

Machine Reasoning Engine (MRE)

ML: [...] learning trains the model by rewarding or penalizing its actions in a given environment.

Reinforcement

ML: [...] learning trains the model on a labeled dataset.

Supervised

ML: [...] learning trains the model on an unlabeled dataset.

Unsupervised

ML: [...] learning uses artificial neural networks to process and learn from large and complex datasets.

Deep

What does AI stand for?

artificial intelligence

What does Catalyst Center MRE stand for?

Machine Reasoning Engine

What does ML stand for?

Machine Learning

What does RRM stand for?

Radio Resource Management