ML Workflows and Delivery of AI-Powered Intelligent Applications with OpenShift Data Science

AI/Machine Learning • December 2021

About

ML Workflows and Delivery of AI-Powered Intelligent Applications with OpenShift Data Science

About

Data science and machine learning are helping to drive business decisions and generate income and insights for organizations across a spectrum of industries, from oil and gas to financial services, and many in between. However, developing and deploying ML workflows can be challenging.
In this codelab, you’ll learn an easy way to incorporate data science and AI/ML into an OpenShift development workflow. You will use an object detection model by using Jupyter Notebooks and TensorFlow to explore a pre-trained object detection model, and serve the model in a REST API as a Flask App.

Language

English

Level

Intermediate

Length

69 minutes

Type

online conference

About the speakers

Natale Vinto

Developer Advocate • Red Hat

Natale is a Software Engineer with more than 10 years of expertise on IT and ICT technologies and a consolidated background on telecommunications and Linux operating systems. As a Solution Architect with a Java development background, he spent some years as EMEA Specialist Solution Architect for OpenShift at Red Hat. Today, Natale is a Developer Advocate for OpenShift at Red Hat, helping people within communities and customers have success with their Kubernetes and cloud native strategy. Love traveling, spicy peppers and Blues!

Fabio Di Vita

Solution Architect • Red Hat

Open Source. Cloud Computing. Application Development. Indie music and and sailing in my spare time (the one remaining after building Lego with my daughter Zoe) By the way , I work in Red Hat as Solution Architect loooking after GSI's partnership in EMEA

Details

Language

English

Level

Intermediate

Length

69 minutes

Type

online conference