These are heady times in the data management world. Organizations of all types are embracing AI and real-time capabilities as key to future growth, and data managers are leading the way in delivering. In this special report, BDQ canvassed a range of industry leaders and activists for their views on the cutting-edge technologies they see emerging.
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Today's enterprises have adopted AI with one promise in mind: efficiency. In the mindset of most IT leaders, efficiency equals simpler workflows, easier data access, faster results, and lighter burdens for IT teams. Unfortunately, according to a recent IT trends study, 71% of IT professionals report AI is actually making their role more demanding. Although AI has proven its ability to fast-track individual tasks, attaching AI technology to legacy processes has revealed a trap hidden under that promised simplicity.
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Companies are not doing enough to protect their data. Instead, they are mainly reacting after a problem occurs, but not anticipating or being proactive before an issue starts. That's the word from a number of industry experts who are sounding the alarm on AI applications and agents running on unstructured data that threatens to swamp even the most well-designed enterprise security infrastructures.
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"Vibe coding" is the latest term making the rounds in the world of application development. The basic idea is simple enough: Instead of painstakingly writing every line of code manually, developers describe what they want to an AI coding assistant, review what it produces, adjust, and keep going. Development becomes more conversational, iterative, and, at least theoretically, faster.
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