Machine Learning (ML)

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Cisco shares a first look into its AI-enhanced support capabilities already available to Cisco engineers, customers, and partners.

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The manufacturing industry faces unique challenges and opportunities when it comes to data center technology. This blog will delve into how data centers enhance efficiency, support advanced tech, and ensure data security in manufacturing. 

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At a career crossroads, Niloo took a leap, joining Cisco as a Wireless System Engineer, finding fulfillment through innovation, inclusivity, and mentorship.

6 min read

Cisco is helping data center networks evolve to support AI/ML applications using Ethernet. With an AI/ML networking blueprint and a new strategic partnership with NVIDIA, Cisco is providing data center Ethernet networking solutions for customers to enable AI/ML workloads.

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Learn how the University of the Bundeswehr Munich used Cisco technology to develop a digital twin model for bridges that predicts maintenance windows based on telemetry, reducing costs and optimizing the design of new bridges with real data rather than forecasted use.

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Bad actors leverage AI, escalating the complexity and scale of threats. We need robust security measures and proper monitoring in developing, fine-tuning, and deploying AI models.

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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.

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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.

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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.