After a banner year for the "promise of progress" on AI ambitions, deepening CX fatigue, and ongoing economic volatility, Forrester is predicting 2026 will bring a year of reckoning. According to Sharyn Leaver, chief research officer at Forrester, "Navigating the coming year will take some mindset shifts: from lofty ambition to pragmatism, from experimentation to accountability, from surface-level engagement to meaningful connection." To help make the process of identifying useful products and services easier, each year, DBTA presents a list of Trend-Setting Products, highlighting a commitment to innovation and efforts to provide organizations with tools to address changing market requirements.
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The real-time revolution for enterprises has been underway for more than a decade, characterized by the gathering, processing, and delivering of near real-time (within hours) capabilities all the way to more instantaneous movement of data within seconds or subseconds.
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As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals share their big data and database/infrastructure predictions for 2026.
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Data drives everything, and businesses must prepare their data to fully leverage technologies, including generative AI (GenAI), cloud computing, and advanced applications. Archiving is a key strategy in this process, ensuring data is clean, accessible, optimized, and cost-efficient. By consolidating and archiving inactive or redundant data, companies can create the high-quality datasets that are essential for training GenAI models and achieving reliable outcomes.
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