UPDATED: Video Added from the Conference!
Introducing Hannes > @hanneshapke < presenting “MLOps for non-DevOps folks, a.k.a. “I have a model, now what?!”“.
Machine learning has been fascinating to Hannes for many years. He is currently the VP of Engineering and AI at Caravel, an AI-powered shopping platform built for eCommerce stores. Before joining Caravel, Hannes was a Senior Data Engineer at Cambia Health Solutions and a Machine Learning Engineer at Talentpair, Inc. He is a Google Developer Expert for Machine Learning. At the moment, Hannes is working on his second machine learning publication with O’Reilly Media focusing on Machine Learning Workflows.
The prospect of developing and training machine learning models on datasets is exciting. While many conference attendees understand the potential value of deploying machine learning models and may even have a model in mind, not all are aware of the frameworks and tools to needed release them in the real world.
This talk will present an applicable framework to bring attendees’ machine learning models to life. Hannes will introduce the audience to tools including Tensorflow Serving and Google ML Engine and discuss them in the context of other popular serving applications such as Kubeflow, AWS Sagemaker, and Azure Machine Learning. He’ll guide the audience through a sample (live) deployment and highlight things to watch out for, such as scaling and costs, as well as the pitfalls of model versioning.
Attendees will leave the talk familiarized with popular approaches to machine learning model deployment, as well as an actual framework they can use to deploy their models for the greater good for the world.
Come check out Hannes’s talk at ML4ALL happening April 28th-30th in amazing Portland, Oregon! Get your tickets to attend here. For the schedule, our excellent sponsors docs for the conference, check out the ML4ALL Conference Site!