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Sway AI Integrates Platform with Microsoft Azure

Sway AI announced on Monday that it has integrated its flagship low-code/no-code (LCNC) AI platform with Microsoft Azure, allowing Azure customers to build and deploy secure AI and machine learning (ML) applications directly within the Azure ecosystem.

Sway AI is not a traditional development environment used for writing and managing code, but a platform for creating AI-driven solutions. Non-technical developers can use it for developing AI models, performing data analysis, and deploying AI applications. They can select pre-built algorithms to develop AI models, configure them, and train them on their data, all without writing code.

The integration combines Sway AI's LCNC environment with Azure's cloud infrastructure, making it possible for businesses to create, test, and deploy AI models without requiring extensive programming or data science expertise. This collaboration is expected to streamline AI workflows, reduce development time, and lower costs, making AI more accessible to a wider range of industries.

"Microsoft Azure's robust security, scalability, and comprehensive cloud services make this an ideal integration that enables enterprises to rapidly build both Gen AI and predictive analytics use cases while addressing their concerns about scale, data security and privacy," said Hassan Ahmed, Chairman and CEO of Sway AI, in a statement. "We bring AI to where the data is, and not the other way around."

By integrating with Azure, Sway AI offers seamless compatibility with Azure services such as AKS Managed Kubernetes, Key Vault, and Virtual Networks. This allows organizations to leverage their existing data and infrastructure while benefiting from Sway AI's simplified AI development process. The integration also ensures that data security and privacy are maintained, as all data preparation, model training, and inference are conducted within Azure, adhering to stringent compliance standards.

"Our partnership with Sway AI provides our customers with powerful, easy-to-use tools to securely build and deploy AI solutions within the Azure ecosystem," said Ali Dalloul, Vice President of Microsoft Azure AI, in a statement. "This integration will drive innovation and efficiency across industries."

Sway AI's platform is designed to empower data analysts and business teams, enabling them to independently manage AI projects to derive insights and improve decision-making. The integration with Azure is seen as a significant step towards making AI development more accessible and secure for enterprises.  

About the Author

John K. Waters is the editor in chief of a number of Converge360.com sites, with a focus on high-end development, AI and future tech. He's been writing about cutting-edge technologies and culture of Silicon Valley for more than two decades, and he's written more than a dozen books. He also co-scripted the documentary film Silicon Valley: A 100 Year Renaissance, which aired on PBS.  He can be reached at [email protected].

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