This time, we'll show just how easy machine learning can be by using the right cloud native platform. In the second talk, we'll even go one step further, when we demonstrate what features Knative holds in store for Kubernetes and OpenShift in the future.
== Agenda ==
18:30 Snacks & Drinks
19:00 Talks
ca. 21:00 More snacks and more drinks, get-together
== Talks ==
Talk 1:
A coding demo "Machine Learning made easy" (Keith Tenzer, Ian Schröder, Red Hat)
Machine Learning does not have to be a pain point for public cloud providers or crazy coders. With a tight framework consisting of an enterprise open source solution and a smart container platform, it can be straightforward and even painless.
Including a demo of "Machine Learning made easy" you will soon see the power of a smart integrated platform. Red Hat delivers a demo showing how to build a framework for Machine Learning of a voice to text solution.
About the speaker:
Keith Tenzer, Principal Solution Architect, Red Hat
Keith has over 20 years of enterprise IT experience. He has a strong software engineering background but also worked on infrastructure side, as a Linux systems and storage administrator. Currently my focus is to help large enterprise organizations move toward containerization and building next-gen platforms.
Ian Schröder, Specialist Sales Middleware, Red Hat
Ian has more than 25 years professional experience in building bridges, from working with Telco in the 90´s to working in Business Development for Service Providers and IT Partners today. Over the past 12 years, his focus has been on data management, data fabrics and helping people to engage in making sustainable changes in both living and working environments. Currently Ian helps Red Hat customers and partners gain more value from data by building bridges with middleware solutions.
