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Get Your ML Application Into Production—Learn How to Overcome Common Challenges
# Tecton

Getting an ML application into production is more difficult than most teams expect—but with the right preparation, it can be done efficiently! Join us for this exclusive roundtable, where 4 machine learning experts from Tecton will discuss some of the most common challenges and best practices to avoid them. 

With over 35 years of combined experience in MLOps at companies like AWS, Google, Lyft, and Uber, and 15 years of experience at Tecton spent helping customers like FanDuel, Plaid, and HelloFresh getting ML models into production, the presenters will share how factors like organizational structure, use cases, tech stack, and more, can create different types of bottlenecks. They’ll also share best practices and lessons learned throughout their careers on how to overcome these challenges.  

Speakers
Demetrios Brinkmann
Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community
Kevin Stumpf
Kevin Stumpf
Co-Founder & CTO @ Tecton
Derek Salama
Derek Salama
Senior Product Manager @ Tecton
Eddie Esquivel
Eddie Esquivel
Senior Solutions Architect @ Tecton
Isaac Cameron
Isaac Cameron
Consulting Architect @ Tecton
Agenda
Track View
4:00 PM
4:05 PM
Stage 1
Opening / Closing
calendar
Welcome
Demetrios Brinkmann
4:05 PM
4:45 PM
Stage 1
Panel Discussion
calendar
Get Your ML Application Into Production—Learn How to Overcome Common Challenges
Kevin Stumpf
Derek Salama
Eddie Esquivel
Isaac Cameron
4:45 PM
4:55 PM
Stage 1
Opening / Closing
calendar
Q&A
4:55 PM
5:10 PM
Stage 1
1:1 networking
calendar
Networking
Event has finished
September 21, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community
Tecton
Tecton
Event has finished
September 21, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community
Tecton
Tecton