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Accelerating ML Deployment with Orchestration Systems

Posted Aug 20, 2023 | Views 610
# ML Deployment
# Orchestration Systems
# Etsy
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Justin Hines
Engineering Manager @ Etsy

Justin Hines is an influential figure in machine learning and engineering management. As Engineering Manager at Etsy, Justin spearheads the Machine Learning Orchestration Initiative, lending his expertise to enable ML practitioners to deploy intricate ML systems to production rapidly and securely. With an impressive track record including roles at Twitter and BuzzFeed, Justin has tackled diverse problems from optimizing BuzzFeed's home page to significantly reducing the latency of Twitter's home timeline. He holds a dual degree from Columbia University in Computer Science and Mathematics and an MBA from NYU Stern with Specializations in Strategy and Management. In his leisure time, Justin loves to express his creativity through cooking and photography. Join us to gain insights from a leader who brilliantly merges software engineering, deployment systems, and strategic decision-making in the world of machine learning.

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SUMMARY

The world of machine learning and artificial intelligence is a race - and fast, efficient model deployment is a game-changer. That's why this forthcoming talk, "Accelerating ML Deployment with Orchestration Systems" is a vital event for ML professionals and business leaders alike.

We'll explore how orchestration tools play a pivotal role in expediting the path to deployment, reducing the time to market, and boosting productivity along the way. We'll back up our insights with real-world case studies demonstrating how accelerated deployment can make a tangible difference in ML projects.

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