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AI Simplified: Data as a Service and 9 Essential Best Practices

AI Simplified: Data as a Service and 9 Essential Best Practices

Author(s): Anil Tilbe

Originally published on Towards AI.

The benefits of data as a service, in addition to use cases, best practices, and challenges

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Data as a service refers to a service model in which data is managed, accessed, and delivered using a platform, which may be offered by a third-party provider or already exist as an internal platform that is used within an organization.

In the data as a service model, data is stored in a central location and can be accessed by authorized users through a web-based interface [1]. Data may be structured or unstructured and may be sourced from internal or external sources.

Reference: [2]

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