AI/ML

Learn about interesting development challenges for wireless networking, including how machine learning and machine reasoning can lead to "self-healing" wireless networks.

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.

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, […]

CDP Data Center is an on-premises edition of Cloudera Data Platform. This new product combines the best of Cloudera Enterprise Data Hub (EDH) and Hortonworks Data Platform (HDP) Enterprise along with new features and enhancements.

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.

Deep-dive into the partnership between Cisco and Clair Global, and how together they made the Rock Lititz campus network the envy of the live event industry!

Find out why predictive maintenance using AI/ML holds tremendous value for DoD weapon system maintenance.

Leaders responsible for achieving AI should be aware of the implications of four key “ingredients” for successful AI, as well as the reasons why Artificial Intelligence will become increasingly “mainstream”.