Orchestrating Machine Learning Applications episode artwork

EPISODE · Jun 9, 2022 · 47 MIN

Orchestrating Machine Learning Applications

from The Data Exchange with Ben Lorica · host Ben Lorica

Haytham Abuelfutuh is co-founder and CTO of Union, a startup founded by the team behind Flyte, a popular open source project originated by Lyft. Flyte is a workflow automation platform used for many different applications, but especially as an orchestrator for machine learning applications.Download the FREE Report: State of Workflow Orchestration → https://www.prefect.io/lp/gradientflow?utm_source=gradientflow&utm_medium=newsletterSubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.

Haytham Abuelfutuh is co-founder and CTO of Union, a startup founded by the team behind Flyte, a popular open source project originated by Lyft. Flyte is a workflow automation platform used for many different applications, but especially as an orchestrator for machine learning applications. Download the FREE Report: State of Workflow Orchestration → https://www.prefect.io/lp/gradientflow?utm_source=gradientflow&utm_medium=newsletter Subscribe: Apple • Android • Spotify • Stitcher • Goog...

NOW PLAYING

Orchestrating Machine Learning Applications

0:00 47:11

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Data Exchange with Ben Lorica?

This episode is 47 minutes long.

When was this The Data Exchange with Ben Lorica episode published?

This episode was published on June 9, 2022.

What is this episode about?

Haytham Abuelfutuh is co-founder and CTO of Union, a startup founded by the team behind Flyte, a popular open source project originated by Lyft. Flyte is a workflow automation platform used for many different applications, but especially as an...

Can I download this The Data Exchange with Ben Lorica episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!