Submissions for nominations are now open for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the users. The nominations period is open through March 6, 2026, and will be followed by actual voting on the products nominated by our readers.
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In the year ahead, there will be signs of significant transformation at data sites. AI is the driver of change, of course, but it goes deeper, promising to reshape operations, security, customer interaction data, and a host of other functions. To explore the possibilities, we canvassed leaders across the industry on the changes they see ahead in the data world.
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For all the enthusiasm surrounding artificial intelligence, digital transformation, and cloud modernization, one fundamental truth continues to surface: None of it works well without high-quality data. It may not be as glamorous as generative AI or as buzzy as vector search, but data quality remains the quiet engine behind operational stability, analytic accuracy, and strategic decision-making. And yet, despite decades of warnings, many organizations still treat data quality as an afterthought.
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It's now 2026 and AI has become a daily part of business conversations. Everyone in the C-suite is contemplating whether to hop on the "hype train." The bubble surrounding the industry seems poised to pop at some point as the market becomes saturated with companies producing "AI slop" in terms of plagiarized art and writing and inflating the value of GPUs and other computer hardware equipment, along with demanding more capacity for data center power. Here, experts share their predictions for AI in 2026.
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