MLOps Community
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Livestream
Scaling MLOps for Computer Vision
# Computer Vision
# MLOps
# Union

Dive into the future of AI at the MLOps Community Mini Summit #4 on November 29!

With data being a primary asset for companies, executing large-scale compute jobs is critical to the business. However, this poses many operational challenges, such as scaling, monitoring, and managing compute clusters. These tasks consume a lot of time and resources from each product team, and hinder their ability to innovate and iterate quickly. Without a platform that can abstract away the details, managing data dependencies becomes very difficult and hinders teams from collaboration and reuse of work.

Join the conversation with David Espejo, Open Source Developer Advocate at Union, Fabio Grätz, Senior Software Engineer at Recogni, and Arno Hollosi, CTO of Blackshark.ai, brought to us by Union. Learn about Flyte, an open-source platform revolutionizing AI product development, how Recogni accelerates ML experiments with Flyte for automotive innovation and Blackshark.ai's insights on running AI models at a global scale.

Speakers
Ben Epstein
Ben Epstein
Founding Software Engineer @ Galileo
David Espejo
David Espejo
Open Source Developer Advocate @ Union
Fabio Grätz
Fabio Grätz
Senior Software Engineer @ Recogni
Arno Hollosi
Arno Hollosi
CTO @ Blackshark.ai
Agenda
Track View
5:00 PM
5:05 PM
Stage 1
Opening / Closing
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Intro
Ben Epstein
5:05 PM
5:25 PM
Stage 1
Presentation
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Flyte: A Platform for the Agile Development of AI Products

The development of traditional apps differs from how AI products are built, primarily due to distinctions in inputs (program vs data) and process structure (sequential vs iterative). However, ML/Data Science teams could benefit from adopting established Software Engineering patterns; bridging the gap that frequently impedes the transition of ML applications to production. In this talk, David will introduce Flyte, an open-source platform that empowers ML/DS teams to collaborate effectively and expedite the delivery of production-grade AI applications.

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David Espejo
5:25 PM
5:45 PM
Stage 1
Presentation
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Flyte at Recogni

Recogni develops high compute, low power, and low latency neural network inference processors with unmatched performance amongst automotive inference processing systems. Fabio will share how ML engineers and researchers at Recogni leverage Flyte as part of their internal developer platform to speed up machine learning experiments for Recogni’s ML-silicon co-design, to develop a state-of-the-art automotive perception stack, and to compress and mathematically convert these models for deployment.

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Fabio Grätz
5:45 PM
5:55 PM
Stage 1
Presentation
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Lessons Learned from Running AI Models at Scale

Blackshark.ai is analyzing satellite imagery of the whole planet with AI. In this talk we explore the lessons learned from training and executing AI models at scale. It touches upon challenges such as managing large datasets, ensuring model reliability, and maintaining system performance. We will also discuss the importance of efficient workflows, robust infrastructure, and the need for continuous monitoring and optimization.

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Arno Hollosi
5:55 PM
6:00 PM
Stage 1
Opening / Closing
calendar
Closing Dicussion
Ben Epstein
David Espejo
Fabio Grätz
Arno Hollosi
6:00 PM
6:15 PM
Stage 1
1:1 networking
calendar
Networking
Event has finished
November 29, 5:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community
Event has finished
November 29, 5:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community