Snorkel AI + Microsoft
Adapt ML models to your proprietary data, tasks, and domain with data-centric AI
Easily access and prepare unstructured data for AI
Launch and adapt AI services at enterprise speed
Data-centric AI at enterprise scale
Snorkel AI’s new foundation model platform has the potential to significantly enhance how Azure customers build, fine-tune, and apply large language models across their business.
John Montgomery
Corporate Vice President, Program Management, AI Platform, Microsoft
Integration highlights
Access and preprocess unstructured data stored on Azure
- Easily access data in Azure Blob Storage, Azure Data Lake Storage, and other repositories
- Preprocess PDF data —including OCR, layout parsing, and more—using Azure Cognitive Services
Build AI applications at enterprise speed`
- Train, serve and manage custom models that are Azure ML ready
- Leverage Azure and OpenAI models
- Train custom Azure AI Document Intelligence models and auto-generate performance analyses.
Securely deploy machine learning processes at scale
- Streamline deployment on Azure with Azure Kubernetes Services (AKS)