The momentous transformation putting data managers and their systems at the helm of modern enterprises has only begun. Industry leaders and experts agree that it's critical for data managers and team leaders to design today's data architectures to meet the demands of a digital economy, from cloud to real-time streaming to AI.
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The past year saw AI go from a pipe dream to a reality. Businesses are rushing to do what they can to integrate automation into their systems and offer their own AI technology, leading to increased security, tapping into the cloud, and more. As 2024 begins, DBTA presents the annual MultiValue Special Report and asks MV executives to address several questions.
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Public cloud has skyrocketed to become the indisputable go-to destination for new IT workloads, especially for data. And while the cloud is full of advantages over on-premises data platforms, cost optimization rarely makes that list. Since modern data professionals' roles encompass building and maintaining this platform, they should also be aware of how to objectively reduce the data platform costs to eliminate this enormous, missed business opportunity.
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Much like organizations in every sector, federal government agencies run on data. The universal challenge of dealing with massive amounts of data every day, while leveraging the right data at the right time, is also very much front and center for government agencies. Amid the growth of computing platforms, mobile devices, and cloud environments, government agencies have steadily added new systems and capabilities, but they've often integrated those systems on an ad hoc basis—as point solutions to address specific needs.
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