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

This member-only story is on us. Upgrade to access all of Medium.

By hobijist3d from Unsplash

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]

The data as a service… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI