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Oracle's AI strategy centres on deeply integrating artificial intelligence across its entire cloud stack, from infrastructure to applications. Rather than solely offering standalone AI services, Oracle prioritises embedding AI within its Autonomous Database and Fusion Cloud Applications to enhance existing enterprise workflows, emphasising data security and governance. A key differentiator is bringing AI to the data, especially within its database, and offering integrated generative AI and AI agent capabilities. Comparisons with competitors like AWS, Azure, and Google Cloud highlight Oracle's strengths in its enterprise focus and integrated ecosystem, while also noting areas where its breadth of standalone AI services may differ. Customer success stories across various industries illustrate the practical application and benefits of Oracle's AI solutions.
By Benjamin Alloul 🗪 🅽🅾🆃🅴🅱🅾🅾🅺🅻🅼Oracle's AI strategy centres on deeply integrating artificial intelligence across its entire cloud stack, from infrastructure to applications. Rather than solely offering standalone AI services, Oracle prioritises embedding AI within its Autonomous Database and Fusion Cloud Applications to enhance existing enterprise workflows, emphasising data security and governance. A key differentiator is bringing AI to the data, especially within its database, and offering integrated generative AI and AI agent capabilities. Comparisons with competitors like AWS, Azure, and Google Cloud highlight Oracle's strengths in its enterprise focus and integrated ecosystem, while also noting areas where its breadth of standalone AI services may differ. Customer success stories across various industries illustrate the practical application and benefits of Oracle's AI solutions.