"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. We bring AI to where the data is, and not the other way around," said Hassan Ahmed, Chairman and CEO of Sway AI.
"This integration leverages Sway AI's innovative no-code environment, which simplifies the AI development process by allowing users to create, test, and deploy AI and machine learning models without needing extensive data science and programming skills."
"The combined offering provides seamless integration with existing Azure Cloud services such as Azure's AKS Managed Kubernetes, Key Vault for Identity and Secret Management, Storage, and Virtual Networks. This enables organizations to utilize their existing data and infrastructure while gaining the advantages of Sway AI's no-code environment."
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