The Critical Things You Have to Build to Transform Your Company to be ML Driven

Discover the essential components needed to transform your company into a machine learning-driven organization in this 39-minute conference talk from MLOps World: Machine Learning in Production. Learn from Yuval Fernbach, Co-Founder & CTO of Qwak and former CTO of the Tech unit of the IDF and ML architect for AWS SageMaker, as he addresses the common challenge of transitioning from research to production in the machine learning development lifecycle. Explore the concept of a standardized protocol for building and deploying machine learning applications at scale, drawing inspiration from web technologies like HTTP. Gain insights into µlearn, an open-source microframework that simplifies the process of defining and deploying machine learning applications across various prediction use cases. Understand how to effectively modularize and refactor ML code for production, and learn strategies for maintaining feature engineering and model prediction logic across offline, online, and streaming environments.