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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Data mesh and data fabric caught the attention of data leaders in the early 2020s as a compelling way to retain and deliver information across highly disparate enterprises. Then AI came into the picture in a big way, overshadowing the time and attention devoted to mesh and fabric. Lately, because data-hungry AI systems demand a seamless flow of information, there has been a resurgence of interest in the flexibility that mesh and fabric provide. To meet this need, mesh and fabric are being layered together, rather than being categorized as differing approaches to data decentralization.
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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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Autonomous, everyday workflows; streamlined inter-team collaboration; and time given back to humans for business-focused initiatives are just a few agentic AI benefits becoming clearer each day. Unfortunately, these advantages have tempted some to give agentic AI more "agency" than it deserves, leading to the ultimate replacement of human employees.
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