Snorkel AI, a data-centric AI platform company, has come a long way since its conception. It recently announced it is integrating Microsoft Azure AI services to help data science and machine learning teams seamlessly develop models tailored to their proprietary data and custom objectives. By joining the Microsoft for Startups program and using this integration, Snorkel AI seeks to help Microsoft Azure customers achieve faster automation of their valuable but unstructured enterprise data.
The Snorkel Flow programmatic labeling platform now includes integrations with Azure AI services. Data science teams will be able to collaborate with internal experts to programmatically label complex, highly variable, and often proprietary enterprise data. This data can then be used to train powerful Azure Form Recognizer neural networks within the Snorkel Flow user interface. The platform also offers auto-generated performance analysis for even more streamlined AI development.
Snorkel AI’s inclusion in the Microsoft for Startups program reflects its proven innovation in data-centric AI development. The program provides access to a network, advanced tools, and platforms as well as valuable business support. This makes it easier for Snorkel AI to further accelerate ML Ops workflows with seamless integrations to Microsoft and Azure services.
The company’s CEO and co-founder Alex Ratner stated that the collaboration with Microsoft seeks to bring a data-centric approach to AI development and to make AI practical for enterprises everywhere. Tom Davis, Sr. Director at Microsoft for Startups celebrated the impactful automation and AI efficiency brought by Snorkel AI to many organizations.
Moreover, Snorkel AI also recently announced that its customers have access to the Snorkel Flow Foundation Model Suite. This enables enterprises to use programmatic labeling to fine-tune and adapt OpenAI’s language models, or automatically label data and train specialized deployable models.
This collaboration between Snorkel AI and Microsoft creates the potential for the enterprise AI industry to become more cost-efficient, reliable, and insightful. Customers on both sides will get to enjoy the data-centric AI platform’s integration with Microsoft and Azure services, as well as to leverage Microsoft’s reputation and global customer base.
