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What is DataOps? Collaborative, cross-functional analytics

CIO

What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise.

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3 key digital transformation priorities for 2024

CIO

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams. Luckily, many are expanding budgets to do so. “94% Here’s how.

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5 Top Data Companies

IT Business Edge

The term “data company” is certainly broad. The company has perhaps one of the world’s most valuable data sets, which includes about 2.94 Meta also has many of the world’s elite data scientists on its staff. For example, if you do a search for data analytics on G2, you will see results for over 2,200 products.

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Data Operations and DataOps: Not One and the Same

Dataversity

In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale.