Union Events

The Flyte Community Sync on March 21st will feature Sam Cox from Shift Technologies, sharing their success story of breaking out of legacy systems with Flyte.

Join Katrina Rogan at the Monthly Machine Learning Meetup in Silicon Valley.

Roboception’s Felix Ruess will be talking about their use of Flyte in their ML workflows.

Sören Brunk will talk about applying AI to the USU portfolio to automate tasks and present their customers with a better experience.

Learn why pipeline orchestration is important and how to navigate the challenges of building data and ML pipelines with Samhita Alla.

Sujith Samuel talks about how Nokia used Flyte to provide their data scientists with a single UI unifying their multiple internal ML tools.

Eduardo Apolinario will be giving an introductory tour of Flyte and exploring how it authors Machine Learning and data pipelines.

Dr. Jennifer Prendki and Yash Panchwatkar explain Alectio's core DataPrepOps platform and how large dataset management was crucial to their success.

Software Engineer Kevin Su at Union.ai and Machine Learning Engineer Evan Sadler at HBOMax/Warner Bros Discovery introduce and demonstrate the new Flyte + Databricks plugin.

Join Katrina Palen & Rahul Mehta who will talk about their journey with Flyte™.

We are discussing the results from a semi-structured interview study of ML engineers spanning different organizations and applications to understand their workflow, best practices, and challenges.

MLOps encapsulates the discipline of – and infrastructure that supports – building and maintaining machine learning models in production.

Listen to Bernhard Stadlbauer & Marie Hoeger talk about their journey in their discovery & utilization of Flyte™.

Flyte Community Sync with Calvin Leather on how Embark Veterinary utilizes Flyte™.

The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities.

Ray and Flyte: Distributed Computing and Orchestration

The Place for Everything Ray

What does an end-to-end ML workflow look like in production?