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GlobeOSS Advanced Digital Analytics services enable our customers to derive value from massive digital data into a world of insights and intelligence. GlobeOSS provides An enterprise-grade service for the end-to-end machine learning lifecycle.
Rapidly build and train models
Use the studio development experience to access integrated tools and best-in-class support for open-source frameworks and libraries.
Operationalize at scale
Deploy models and manage and govern them efficiently with MLOps.
Deliver quality solutions
Understand and protect data and models, built for fairness, and improve model quality.
Cloud, Hybrid or On-Prem
Run machine learning workloads anywhere with built-in governance, security, and compliance.
Create, manage, and monitor labeling projects, and automate iterative tasks with machine learning–assisted labeling.
Data preparation & Data Sets
Perform interactive data preparation with PySpark. Access data and create and share datasets.
Model Building & Training
We use collaborative Jupyter notebooks with interactive computing
Open-source libraries and frameworks
Get built-in support for Scikit-learn, PyTorch, TensorFlow, Keras, Ray RLLib, and more.
Automatically train and tune accurate models
We run experiments and create and share custom dashboards.
Validation & Deployment
Pipelines and CI/CD
Automate machine learning workflows.
Hybrid and multicloud
Train and deploy models on-premises and across multicloud.
Model Registry & Audit Trail
Use the central registry to store and track data, models, and metadata. Automatically capture lineage and governance data with audit trail.
Management & Monitoring
Monitor & Analytize
Track, log, and analyze data, models, and resources. Debug models and optimize model accuracy.
Policies & Securities
Leverage pre-built and custom policies for compliance management. Continuous monitoring with Elastic Security.
Detect drift and maintain model accuracy.
Trace ML artifacts for compliance.
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