Machine Learning (ML)

Predictive analytical models use AI/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.

Artificial intelligence is fundamentally changing our world. Cisco's Global AI Readiness survey explains how to be prepared. Learn how Cisco can help you prepare your business.

AI workloads place new demands on networks, storage, and computing. Networks need to handle masses of data in motion to fuel model training and tuning. Storage needs to be closely coupled with compute in order to scale effortlessly. Cisco can help you build on trusted architectures for maximum effect.

End-to-end connectivity, application performance and user experience are closely correlated and data has to be holistically observed across multiple domains. Cisco Full Stack Observability can help you turn your MELT data into actionable insights so you can deliver the best user experience.

Cisco announces General Availability of Cisco XDR on July 31, 2023, helping security analysts rapidly identify and remediate threats, optimizing SOC performance.

In part 2 of the series, we talk more about Generative AI content rights, the fight for attention, and image generation.

Learn how the Encrypted Visibility Engine (EVE) uses ML/AI to identify encrypted malware communication even when it is destined to trustworthy cloud services.

Today we expand the Cisco Silicon One™ portfolio with two new 5nm devices targeting web-scale spine roles and Ethernet-based artificial intelligence/machine learning (AI/ML) deployments. Cisco Silicon One devices now span from 3.2 Tbps to 51.2 Tbps, with a converged architecture and software development kit for true convergence without compromise.

Delivering a simpler platform experience starts now. Discover how our new platform experience can enable operational simplicity, efficiency, and reliability to transform your business.