Advance Malaysia’s AI Capabilities with Azure Machine Learning
Harness a powerful, enterprise‑grade platform to build, train and deploy machine learning models at scale.
Azure Machine Learning gives organisations a unified environment to design, train and operationalise machine learning models with speed and confidence. It supports end‑to‑end ML workflows, from data preparation and experimentation to automated training, responsible AI tools and secure deployment. Enabling teams to deliver scalable, production‑ready AI solutions.
– Azure Machine Learning
Take advantage of key features for the full ML lifecycle
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Data preparation
Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric.
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Feature store
Increase agility in shipping your models by making features discoverable and reusable across workspaces.
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AI infrastructure
Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking.
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Automated machine learning
Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing.
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Responsible AI
Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness.
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Model catalog
Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere and more using the model catalog.
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Prompt flow
Design, construct, evaluate, and deploy language model workflows with prompt flow.
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Managed endpoints
Operationalize model deployment and scoring, log metrics, and perform safe model rollouts.
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