Artificial Intelligence (AI)

As AI workloads mature, the need for greater granularity and flexibility in accelerated compute resource allocation has increased. With support for the new NVIDIA A100 GPU Cisco UCS and HyperFlex will deliver performance and versatility for running AI at scale.

Within five years, AI will have the ability to hyper-personalise the customer experience. Introducing an ethical framework for AI could prove essential for organisations to execute an unbiased CX.

AI has the potential to greatly improve the human condition. In particular, AI-will drive advancement in biotech, medical, climate and agriculture technologies among others – these changes will be hugely beneficial to humans. However, there are risks.

Episode 3 of our Security Stories podcast is now live, and you won't want to miss our interview with the amazing Theresa Payton. From life inside The White House, to online privacy, to how to recruit for cybersecurity roles, it really is a fascinating listen! Learn more about this weeks episode in our latest blog:

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.