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Discover how to rapidly deploy ML/AI to production using cutting-edge MLOps technologies in this comprehensive workshop led by Yaron Haviv, CTO and founder of Iguazio. Learn valuable strategies and techniques for streamlining the machine learning lifecycle, automating key processes, and overcoming common challenges in bringing ML models to production environments. Gain insights into best practices for scaling ML operations, ensuring model reliability, and optimizing performance in real-world applications. This two-hour session, presented at the Toronto Machine Learning Series (TMLS), equips data scientists, ML engineers, and DevOps professionals with practical knowledge to accelerate the journey from model development to successful deployment.
