Your First ML Model in Production - Considerations and Examples

Explore the journey of deploying your first machine learning model in production with this insightful talk by Sabina Stanescu, Principal Data Scientist at Altair Engineering. Discover strategies for identifying impactful and executable data science projects that align with business objectives and organizational infrastructure. Learn about the various aspects of model deployment, including real-time and batch scoring methods, as well as sample architectures for making model scores accessible through APIs or databases. Gain valuable insights into the processes and frameworks that enable iteration and testing throughout the full lifecycle of model deployment. Benefit from a real-world example that demonstrates the entire process, from data capture to real-time scoring in production, providing practical knowledge for data science professionals aiming to create innovative and impactful work.