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Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.
Data science is a method to transform business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.
Data is now a living organism driving company success. To thrive, businesses must embrace AI-powered, automated data management across five critical pillars.
Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles in the generative AI era are all driving the change, say analysts.
Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.
As gen AI use continues to skyrocket, reports of business benefits are trickling in. But we're also seeing more cases where the tech can actually create more work than it saves.
Data engineers and data architects are in high demand. Here are the certifications that will give your career an edge.
The new era of autonomous systems will require rapid data processing closer to the source. This has some CIOs adding AI at the network edge to their 2025 roadmaps.
Seasoned by recent supply chain challenges, IT leaders are better positioned to help their organizations navigate the potential protracted work stoppage by dock workers across the Eastern US seaboard.
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