Join us for a live webinar hosted by Qwak and featuring members of Happening's data science and ML engineering teams as they discuss how they built Superbet's profanity detection model.
During this session we will discuss:
This session aims to provide actionable insights into how you can optimize your ML pipeline based on the team's experience.
If you're a data scientist, ML engineer, or anyone interested in learning how to optimize ML pipelines for multiple audiences, this webinar is for you. Don't miss this opportunity to learn from the experts at Happening and improve your ML pipeline.
See you there!
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Automatic deployment and continuous training were crucial to allow us to scale. Qwak gave us a type of "Jenkins" for machine learning."
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At JLL our development is very time sensitive. As a result of implementing Qwak, we improved our execution time by 4.5X."
"Qwak streamlines our machine learning development all the way from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value delivery."
