Cost Reduction Methods for Machine Learning in Production

Explore effective cost reduction strategies for deploying machine learning models in production environments in this 43-minute talk from the Toronto Machine Learning Series. Gain insights from George Seif, a Machine Learning Engineer at Altair Engineering, as he shares his expertise in bringing ML technologies to scale. Discover the challenges organizations face with increasing costs as data and models grow larger and more compute-intensive. Learn about powerful MLOps tools and strategies for efficient model deployment. Focus on two key areas for cost reduction: models and infrastructure. Understand how to balance the pursuit of cutting-edge research with practical considerations for cloud deployment. Acquire valuable knowledge to help your organization optimize expenses while successfully implementing machine learning solutions in production.

Cost Reduction Methods for Machine Learning in Production