Model Deployment Challenges
Moses and Kyle discuss the challenges of deploying machine learning models compared to software development, highlighting the need for constant updates and the potential for failures due to changing data. They emphasize the importance of tools and processes to address these differences and ensure smooth deployment.In this clip
From this podcast
Data Skeptic
ML Ops in Production
Related Questions
What is the process of training a machine learning model as discussed in the episode AI Today Podcast: How AI and Project Management Fit Together: Interview with Kendall Lott and Mike Fortezza, PM Point of View Podcast and the clip Model Deployment Challenges?
How is the software world evolving as discussed in the episode a16z Podcast | Containing the Monolith -- From Microservices to DevOps and the clip The Future of Software Development?