At its annual AI World Conference in Las Vegas (formerly Cloud World), Oracle has canceled the wrapping of three separate projects in collaboration with Keyhyperscalers to better serve customers.
The updates coincide with the general availability of the Oracle Autonomous AI Lakehouse company’s new all-in-one platform that combines scalability and flexibility in a data lake with the management and benefit benefits of a data warehouse.
Oracle Autonomous AI Lakehouse brings AI and machine learning directly into the database, which means customers can use AI where their data lives instead of having to duplicate them and moving them elsewhere.
Oracle is not afraid of Multicloud
With HyperCaler collaboration, this means that customers can now bring Oracle’s AI to their data, even if it is stored in Google Cloud, Azure or AWS, keeping them adapted to data stays and observational requirements.
In addition to offering Oracle Autonomous AI Lakehouse with these partners, Google Cloud has also brought the number of regions up to eight, from five.
Over the next 12 months, Google Cloud has committed to adding another nine regions, Azure another five and AWS added as many as 20 new regions to Oracle customers.
Talking with Techradar Pro At the event, Oracle VP emphasized the product management Nathan Thomas the company’s obligation to allow customers to place Oracle databases in the cloud of their choice, be it on the Oracle Cloud Infrastructure or not.
Oracle’s Database@ Products is designed to bring low-latens, compatible multicloud implementations to the place where customers are already running their applications, reducing technical obstacles.
“Our customers want flexibility … We recognize it and we offer a multicloud environment,” noted Thomas.
Oracle Applications VP Rajan Krishnan also shared thoughts about the company’s multicloud strategy with Techradar Pro At the event, it is recognizing that customers today pursue not only Multicloud, but also multi-Ii settings where they can gather the power in different models from different providers.
Krishnan credited Anthropics work with Model Context Protocol (MCP) to enable wider interoperability and compare it to HTTP’s standardization of the Internet.
In short, the message in AI World 2025 has been clear, as the data of the future is open, flexible and cooperative, and Oracle’s partnerships with companies like these are just proof that they can exist in the same space, maintain rivalry and their own differentiators, while also better met the needs of customers.
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