MLOps Explained: Turn Data Science Models into Sustainable, Scalable Solutions
Recorded on Monday, April 26, 2021
Want to Learn More About Machine Learning Operations (MLOps)?
During this one-hour webinar, learn how to future-proof your data science solutions by improving your machine learning operations (MLOps) with Data Science Lead, Elizabeth Dinevski.
About the Webinar:
Machine learning operations (MLOps) provides critical capabilities to deploy, monitor, manage, and govern machine learning in production. In essence, MLOps helps you unleash more sustainable, scalable, and future-proof data science solutions. Learning how to harness the potentials of MLOps is arguably essential, not only for data scientists but for IT managers and CIOs alike.
During this one-hour webinar, Data Science Lead, Elizabeth Dinevski will guide your through MLOps in great detail and also cover:
- The data science solution development cycle
- Common challenges for building long-lasting data science solutions
- Best practices when moving models into production, regardless of cloud application (AWS, Azure)
- An innovative approach to MLOps: Push to Prod
About the Speaker:
Over the past five years, Elizabeth Dinevski has championed data and analytics in banking, government, technology, and the consumer packaged goods industry. She brings a wealth of knowledge in data science to the analytics community.
Elizabeth drives business intelligence strategy, helping teams leverage technology to make data-driven decisions. She specializes in performance management, supply chain optimization, and marketing analysis.
From data engineering and modeling to interactive dashboards and visualizations, Elizabeth can transform raw data into actionable analytics. She prides herself on making interactive dashboards and stunning visualizations in Tableau.
As a consultant for Tessellation, Elizabeth specializes in providing clients with future-proof data science solutions.