Machine Learning (ML)

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.

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. 

Data Science Applied In Business Today. In the past decade, there has been an explosion in the application of data science outside of academic realms. The use of general, statistical, predictive machine learning models has achieved high success rates across multiple occupations including finance, marketing, sales, and engineering, as well as multiple industries including entertainment, […]

At Cisco, we have been thinking through what connectivity looks like to the application developer and platform engineer. The cloud-native Network would connect all such service endpoints, and only those endpoints, wherever they happen to be and in whatever form – as modern cloud-native, or traditional monolithic systems.

Kubernetes has been a catalyst in building AI/ML capabilities, however DIY setting up and maintaining such as stack can be complex. As more and more Cisco Container Platform, customers are interested in machine learning, we are continuously evolving the support to enable them in their journey.

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.

Ransomware and other cyberthreats are growing against Educational institutions. Find out how you can turn your network into a sensor to help turn the tide.

From investing in diversity, to leveraging next-gen education programs, and building a purpose-driven culture, discover the guiding principles for fixing the tech talent gap.

Retail banks are running with artificial intelligence and machine-learning technologies. Armed with these tools, they’re adding speed and ease to banking, completely transforming the customer experience.