Скачать или смотреть Putting Model Operations (ModelOps) into production

Companies are struggling to realize returns with their data insights and put AI and ML projects into production. As such companies are looking for people with the practical skills to bring value to their AI projects and operationalize their data insights and ML models while leveraging products that can help accomplish this at scale, at ease and at low cost.

In this session you will learn:
The key challenges with MLOps
How to operationalize ML projects
How to deploy ML models in a repeatable, scalable process
Monitoring model performance
Keeping the models up and running and scaling for the future.

Speaker: Nina Zumel, Dipika Jain
Resources:
event: https://www.aicamp.ai/event/eventdeta...
Benchmarking Blog: https://www.wallaroo.ai/blog/wallaroo...
Documentation : https://docs.wallaroo.ai/
Community Edition : https://portal.wallaroo.community/