Extending AI and Innovation with Google Data Cloud
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Key Takeaways
⇨ Google Data Cloud comes with prepackaged accelerated capabilities so essential tables are translated, harmonized, and normalized for ease of use.
⇨ With Cortex Framework, companies can leverage reference architectures and packaged content for common business scenarios.
⇨ Companies must overcome the barriers between data and AI before they can automate and enhance their data.
As companies ramp into the AI space, many are under the impression that they can simply apply AI to their existing data to supercharge its value. Sadly, this is not the case. Companies must overcome the barriers between data and AI before they can automate and enhance their data. Google Cloud is working to break down barriers between data and AI to unleash the value that businesses need to stay ahead of the competition.
In this article, you will learn about Google Data Cloud, which bills itself as a “unified, open, and intelligent data ecosystem” that caters to different use cases and personas within an organization. We will take an in-depth look at how Google Data Cloud caters to AI functionality and helps organizations become truly data driven. We will also examine this solution in an SAP context and highlight how it can become the backbone to a sound data strategy.
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