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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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Big Companies, Big Wins: Enterprises Out-Innovating Startups

Sisense

That data is the real game-winner for enterprises: they’re the ones who have it. Any startup would kill to get its hands on the data stores sitting (possibly unused) at an enterprise company. Whatever you’re going to build, build it boldly!