Cisco AI

4 min read

Generative AI uses machine learning, language models, and graphical models annotated and labeled by humans. Learn more about machine learning; try the DevNet "Machine Learning 101" learning lab.

3 min read

Machine Learning, AI, and Computer Vision technologies come together in the Meraki MV camera, a visual sensor offering critical insights about people and vehicles in physical spaces. Read about customer use cases.

3 min read

Explore how AI can fall prey to spurious correlations in the context of networking, and how automation can help overcoming these limitations.

2 min read

See how Tabnine enables team programming with an autocomplete-like tool that predicts what you want to write based on the code you/your team has written previously, as well as best open-source coding practices.

4 min read

Learn how to build voice assistants that augment Automatic Speech Recognition (ASR) systems by generating pronunciations (phonemes) for words based on their written form (graphemes).

3 min read

Artificial Intelligence / Machine Learning (AI/ML) and other applications are now taking advantage of the digital transformation creating new models of business and impacting various industries.

3 min read

How can you quantify the real business value that customers are seeing from AI/ML technology in Cisco DNA Center? In a video case study, the IT staff of REWE Group, one of Europe’s largest supermarket chains, breaks it down.

6 min read

Cisco AI Network Analytics, within Cisco DNA Center, adds another layer of intelligence to intent-based networking, making networks even smarter, simpler to manage, and more secure.