Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Daniel Whitenack

Daniel Whitenack
Data Scientist and Engineer, Pachyderm

Website | @dwhitena

Daniel Whitenack is a PhD-trained data scientist and engineer at Pachyderm. His industry experience includes developing data science applications, such as predictive models, dashboards, recommendation engines, and more, for large and small companies. Daniel has spoken at conferences around the world, including Applied ML Days, Spark Summit, PyCon, ODSC, and GopherCon. He maintains the Go kernel for Jupyter and is actively helping to organize contributions to various open source data science projects.


9:00am-12:30pm Wednesday, September 5, 2018
Implementing AI, Interacting with AI
Location: Continental 4
Secondary topics:  Platforms and infrastructure
Daniel Whitenack (Pachyderm)
Average rating: ****.
(4.75, 4 ratings)
Kubernetes—the container orchestration engine used by all of the top technology companies—was built from the ground up to run and manage highly distributed workloads on huge clusters. Thus, it provides a solid foundation for model development. Daniel Whitenack demonstrates how to easily deploy and scale AI/ML workflows on any infrastructure using Kubernetes. Read more.