Live Stream- MLOps Explained: Turn Data Science Models into Sustainable, Scalable Solutions
Recorded on Thursday, April 26th, 2021
9am PST | 11pm CST | 12pm EST
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.
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
Watch the Recording
About the Speaker: Elizabeth Dinevski
We are a modern analytics consultancy. We enable and manage organizations’ analytics and self-service teams by educating people, optimizing technology, developing world-class products, and providing sustainable results. Curious to know how we can level up your organization’s analytics? Click here!