Flyte Pipelines in action with LinkedIn and Enceladus Bio

In this community presentation we’ll see how Flyte is utilized by LinkedIn engineering and Enceladus Bio!

The Flyte community presentation series is where practitioners share their experiences and knowledge of building robust and scalable data and machine learning workflows with Flyte. Let us know if you’d like to present.

Talk 1:
Flyte at LinkedIn
LinkedIn leverages Flyte as the core infrastructure for our next-generation ML Training platform. Flyte has provided numerous benefits, enabling ML engineers to iterate much faster than before. We will review the key highlights of adopting Flyte at LinkedIn and discuss features that have proven particularly valuable.

Talk 2:
Flyte at Enceladus Bio, a gene editing therapeutic startup
Enceladus Bio is developing the next generation of gene editing medicines. Computation is deeply integrated in our R&D workflow - from the design of the wet-lab experiments to the analysis of their readouts. As a team composed of academically-trained scientists, we'll share why we chose Flyte to manage our pipelines and our experience of using it as an early stage biotech company.

About Flyte:
Flyte is the popular open-source orchestration platform used for building end-to-end machine learning pipelines, data processing workflows, and scientific computations. Flyte enables developers, ML engineers, and data scientists to focus on their core tasks without worrying about the underlying infrastructure. Check out the project on GitHub: https://github.com/flyteorg/flyte

**About Union.ai**
Union is an AI platform powered by Flyte that simplifies ML infrastructure so you can develop, deploy, and innovate faster.

Write your code in Python, collaborate across departments, and enjoy full reproducibility and auditability. Union lets you focus on what matters.

💬 Join the Flyte AI and MLOps Slack Community: https://slack.flyte.org/https://slack.flyte.org/
⭐ Check out Flyte on GitHub: https://github.com/flyteorg/flyte
🤝 Learn about everything else we’re doing at https://union.ai/