Auto-classification Data Scientist DevOps 
IBM Journey to AI blog
SEPTEMBER 5, 2024
There are different levels of automation an enterprise can apply at various points in the data lifecycle to enforce good governance, including: Column-level access control : Enforces access via users, groups and teams with high levels of granularity. Auto-generated audit logs : Record data interactions to understand how employees use data.
Unite.AI
JUNE 24, 2024
It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. Model Training Frameworks This stage involves the process of creating and optimizing predictive models with labeled and unlabeled data.
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The MLOps Blog
JUNE 27, 2023
Some popular end-to-end MLOps platforms in 2023 Amazon SageMaker Amazon SageMaker provides a unified interface for data preprocessing, model training, and experimentation, allowing data scientists to collaborate and share code easily. Check out the Kubeflow documentation.
AWS Machine Learning Blog
APRIL 19, 2023
Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable.
AWS Machine Learning Blog
JULY 16, 2024
It manages the availability and scalability of the Kubernetes control plane, and it provides compute node auto scaling and lifecycle management support to help you run highly available container applications. Akshit Arora is a senior data scientist at NVIDIA, where he works on deploying conversational AI models on GPUs at scale.
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