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Low-code/no-code
Tools and platforms that let people build applications with minimal or no coding skills. They use visual elements, like drag-and-drop features, to simplify development.
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Machine learning
Systems that learn from data and get better over time by adjusting how they work. These models are common in artificial intelligence (AI) to improve performance.
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Metadata
Data that provides information about other data but not the content itself. For example, the title, author, date or size of a text file.
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Minimum Viable Product (MVP)
The simplest version of a product. It’s launched with only its core features to test the idea with users. Releasing an MVP helps teams gather feedback and improve the product.
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Multi-cloud
The practice of using the services of multiple cloud providers. This approach increases flexibility and helps reduce the risk of depending on a single vendor.
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Computing environment
The combination of hardware, software and network resources needed to run and manage an application or service. This setup forms the workspace where computing operations happen.
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Confidential information
Private or sensitive information, such as health records or personal identification.
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Container
A software package containing everything an application needs to run. This includes the code, system tools and libraries.
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Content design
A discipline that uses evidence and data to plan and organize information. It involves making strategic choices on language and structure to help guide users through complex information in an intuitive way.
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Beta testing
The second round of tests, after alpha testing, for a product or service. The product is tested by a larger group of users, typically outside of the organization that developed it.