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Microsoft has integrated Azure Machine Learning with Snowflake, a cloud computing-based data cloud company, allowing users to import data with a single command.
According to a blog post on Microsoft’s official website, data scientists using Snowflake as their data warehouse solution can now access Azure ML capabilities without the need for third-party libraries or data engineering teams.
Microsoft aims to establish the Azure cloud as the first choice for enterprises looking to run AI and machine learning operations.
In a blog post, Amar Badal, senior manager of Azure Machine Learning, said, “Data scientists in organizations adopting Snowflake as their data warehouse solution are finding themselves relying on third-party libraries or working with data engineering teams. We are now able to explore the capabilities of Azure ML without having to go back and forth.” ”
This integration enables data scientists to leverage machine learning algorithms and models in Azure to build, train, and deploy production machine learning models.
However, this integration is currently in preview and will be generally available in the coming months.
This announcement follows an expanded partnership with Microsoft and Nvidia and the general availability of Azure Machine Learning’s underlying models at the Build 2023 conference. The company has also improved its artificial intelligence training capabilities.
Microsoft has simplified the underlying model, making it easier for companies to import data from external sources into Azure Machine Learning for AI development and training.
Cloud services are growing in popularity among companies deploying AI technology because they provide access to hardware optimized for AI workloads that can be costly and difficult to manage on-premises. increase. As the demand for generative AI applications like Large Language Models (LLM) and ChatGPT grows, more businesses turn to hyperscale cloud providers as a cost-effective way to keep up with this rapidly accelerating trend. expected to be.
