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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Change is happening, and it's happening so fast that even the most seasoned data managers and professionals can't keep up. New technologies, along with new approaches to data management, are restructuring—and reimagining—data-related jobs. Industry leaders are expressing astonishment at the speed in which the data world is changing. "I'm witnessing something that's going to make everything different," said Milan Parikh, lead enterprise architect at Cytel.
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If you're reading this, you're likely an expert in something database related. You know everything there is to know about SQL, Microsoft Azure, data analytics, maybe more. Perhaps you're an IT specialist who knows your company's digital infrastructure from end to end. If you've spent some years in your role, you've realized that, in addition to your technical know-how, you've probably had to develop another set of skills—interpersonal ones.
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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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