Generative AI: State of Play, Part 1
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.
Machine Learning and MV Cameras – Customer Use Cases
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.
Why Automation Will Unlock The Power of AI in Networking (Part 2)
Explore how AI can fall prey to spurious correlations in the context of networking, and how automation can help overcoming these limitations.
Pair Programming with AI: How Cisco Works with Tabnine
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.
Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant
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).
Here’s What You Need to Know About Digital Transformation
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.
REWE retail group discusses business value of AI/ML in enterprise networking
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.
Cisco AI Network Analytics: Making Networks Smarter and Simpler to Manage
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.