Flo Pachinger

See how you can build a ML pipeline with Kubeflow! After setting up Kubeflow on your Kubernetes Cluster you (and your data science team) can explore the dataset and develop the first version of the ML model.

Get a clear understanding of how to design and operate edge applications. Live webinar on August 18th will focus on how cloud-native principles can be applied to applications at the edge from a development and operations point of view.

When people talk about the "Edge”, they can be meaning different things. This blog takes a closer look at each Edge category, with a focus on the hardware and software parts.

How machine learning applications can be deployed using Cisco Intersight Kubernetes Service, and how to build an automated ML pipeline using Kubeflow.

See how cost-effective, compact compute devices enable applications to leverage AI/ML, computer vision and AR/VR. And enable uses-cases such as automated theft protection, predictive maintenance, autonomous driving, digital signage, and remote expert assistant

Want to create your first Machine Learning model?... Build a web-application with Django?... Get started with MLOps & Kubeflow?... Integrate a Meraki MV Cameras and MT Sensors?... Then come get your hands dirty in the DevNet Zone at Cisco Live.

Try out all the programmability features of the Cisco IoT gateway, Industrial Router IR8140, in the DevNet Sandbox.

Learn how MLOps can add efficiency and predictability to the design, build phase, deployment, and maintenance of machine learning models, and help to automate machine learning workflows.

ThousandEyes collects meta-data about the health of your running services. See how you can integrate data from ThousandEyes into your own application or dashboard, or display aggregated datasets.