Artificial Intelligence (AI)

This week, we’ll discuss the three major gaps that prevent enterprise from taking advantage of AI/ML and how to bridge them – with Cisco’s help.

Cisco believes that IT must be intimately involved with the data science projects to ensure that data governance, both on-premise or on-cloud, be properly administered and managed.

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.

NVIDIA and Cisco have built a solution that can help you accelerate your AI and ML workloads

Do you know that Kubeflow 1.0 has just been recently released by the Kubeflow Community?  Kubeflow is the open source project integrating TensorFlow, PyTorch and other machine learning capabilities into a cohesive tool, from data ingestion, through machine learning, and even inferencing. 

AI is everywhere—but what is real and what’s just hype? We will dig into how AI can be used today (and in the future) in networking.

Cisco HyperFlex, together with Intel’s Xeon Scalable Processors, provides the compute power needed to perform inferencing at multiple retail locations.

Kubeflow 1.0 is ready. Through perseverance and hard work of some talented individuals and close collaboration across several organizations, together we have achieved a pivotal milestone for the community. In this article we would like to take a step back, celebrate the success, and discuss some of the steps we need to take the project to the next level.

Applications are the foundation of your business. As IT professionals, you need to provide the right infrastructure for these apps to perform as expected and deliver the best experience possible.