Live Fast, Store Smarter: Python-Driven Data Architectures for Machine Learning

Join us on Tuesday, June 24th from 5:30 to 7:00 p.m. at Source Allies for the latest Pyowa meetup! This month’s session dives into how Python's ecosystem supports efficient, scalable data storage architectures built specifically for machine learning workflows.

We'll explore strategies for designing systems that balance speed, cost, and scalability—ensuring seamless data pipelines that support everything from training to real-world inference.

About the Speakers

Benjamin Reutter is a technology strategist and content architect specializing in AI infrastructure. As Content Lead at Redbud.AI, he translates complex machine learning concepts into actionable technical narratives. His recent work includes developing Kubeflow training for the Cloud Native Computing Foundation (CNCF).

Rachael Roland is an AI Scientist and seasoned technology leader with more than 20 years of experience across software development, machine learning, and entrepreneurship. She is the founder of RedBud AI LLC, based in Denver, Colorado, where she focuses on advanced AI applications.

Come for the insights, stay for the community. Food and drinks will be provided.

Tuesday, June 24th
5:30pm-7pm
Hosted at Source Allies
Food and drinks provided

RSVP only if attending in-person.