The big data and analytics space has been shaken up by the increasing pressure to integrate AI into the business or be left behind. However, diving headfirst without guardrails can be a high-stakes introduction to AI. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine showcases the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers. Spanning the wide range of established legacy technologies, from MultiValue to cutting-edge breakthroughs such as AI, semantic layers, data lakehouses, data mesh, and data fabric, the DBTA 100 is a list of hardware, software, and service providers working to enable their customers' data-driven future.
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For more than a decade, enterprises have been locked in a cycle of building increasingly complex data stacks to keep pace with the demands of modern analytics. Warehouses, OLAP engines, and streaming systems have all played their part. However, as data volumes have increased, customer-facing use cases have proliferated, and costs have risen, the cracks in legacy approaches are widening.
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It's time to vote 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 readers. The voting period will be open and extended through June 5.
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Preparing a presentation on the Internet of Things (IoT) in asset management for an executive rail infrastructure audience does something unexpected to you—it forces you to confront not just the technology, but the human cost of its absence. The deeper I dug into the research, the more I realized the story I was building for that room demanded a wider audience. What follows is the article that preparation forced me to write.
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