Following the explosive growth of AI initiatives at all levels of various organizations last year, tech leaders have pinpointed digital trust as a crucial challenge in software development for 2025, according to the sixth annual "Reveal Survey Report: Top Software Development Challenges for 2025" survey from Infragistics. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.
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AI is no longer a speculative technology; it is a practical tool with clear, transformative implications for cyber resilience (CR) and disaster recovery (DR). While AI's potential is often overstated, its measured and strategic application can directly address some of the most persistent challenges in safeguarding organizational data and ensuring business continuity.
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As our lifespans stretch well beyond the traditional retirement horizon, the future of work is undergoing a profound transformation. With some individuals living well into their 110s—and babies born today potentially reaching 150—we're not just facing longer lives, but longer careers. Many of us may be working into our 80s or 90s. The implication is clear: technology must evolve to support not just the young and able but also the aging who will increasingly make up a significant portion of the global workforce.
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It's been said that AI is only as good as the data fueling it. And that's true—to an extent. Having good data is important, but it is also useless if it's inaccessible. This explains why building the Data Operating Fabric—an intelligent platform that oversees and controls real-time data ecosystems to help businesses run more smoothly and drive better ROI—has become a priority for organizations as AI adoption continues to accelerate and new solutions, such as AI agents, come online.
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