The influence of generative AI (GenAI) and decision intelligence continues to drive data-driven processes. While data quality and security remain essential, everyday components, organizations should also embrace AI/ machine language-driven automation and self-service analytics, while paying equal attention to the human element, thereby fostering a strong data culture, robust governance, and enhanced data literacy. With more data being created than ever before, making the right choices among the countless options for data management and analytics solutions is a top priority for many organizations. To help companies progress along their data-driven journeys, each year, DBTA presents the Readers' Choice Awards, offering the opportunity to recognize companies whose products have been selected by the experts—our readers!
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Organizations are adapting to a new era of IT virtualization and data center infrastructure management as VMware shifts to costly subscription models and ends support for vSphere 8 perpetual licenses in October 2027. DBTA recently held a webinar, 2026 IT Virtualization Survey: What's Next for VMware Users, with industry experts who broke down the findings of the new "2026 IT Virtualization Survey: What's Next for VMware Users," which gathered data from 269 global IT infrastructure and security leaders.
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In the world of database management, there are a handful of phrases that make experienced DBAs uneasy. Statements such as "we'll fix it in production" or "the database can handle it" usually signal that trouble is coming. But there is another phrase that may be even more dangerous: "It's just data."
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What technologies for the data-driven era are emerging now? As you might guess, much of the activity seen across the market is connected to AI. At the same time, there is a critical data element that needs both to support AI implementations, as well as be supported by AI. DBTA queried industry leaders to get their views on the most compelling technologies now emerging in this data-driven era.
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