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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

The choice of vendors should align with the broader cloud or on-premises strategy. For example, if a company has chosen AWS as its preferred cloud provider and is committed to primarily operating within AWS, it makes sense to utilize the AWS data platform.

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What Is Embedded Analytics?

Jet Global

You might price embedded analytics as an independent add-on, or you might upsell customers to a plan that includes analytics. Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. Explain how embedded analytics can deliver the capabilities customers need.