Curated from Latest from TechRadar US in News,opinion — Here’s what matters right now:
Artificial Intelligence (AI) is one of the most talked-about technologies of our time. It dominates headlines, fuels boardroom ambition, and drives product roadmaps across every industry. From generative AI chatbots to multi-modal systems and autonomous agents, the sheer velocity of advancement is staggering. But while the pace of innovation is accelerating, it has also created a growing disconnect: everyone wants AI, but far fewer know what to actually do with it. This gap between excitement and effective execution is fast becoming a defining challenge of the AI era. The technology is racing ahead, but organizational readiness is lagging. Many businesses know they need to act but are unclear on how to deploy AI in ways that are safe, strategic, and genuinely transformative. To bridge this gap, education is critical. And we don’t just mean educating developers and data scientists, senior leadership needs a foundational understanding of AI’s capabilities and limitations. They must grasp where it can create value, what it takes to scale safely, and how to prepare the wider organization for what’s to come. Without this knowledge, AI risks becoming another overhyped tool that fails to deliver meaningful returns. Where AI is already delivering value Despite these challenges, AI is already making a tangible impact in focused, high-value areas. These use cases might not generate the loudest headlines, but they offer a glimpse of what’s possible when strategy and execution are aligned. In customer service, AI is proving to be a powerful support tool. For example, it can generate real-time summaries and recommendations for call center agents, improving both the accuracy and speed of responses. AI-driven sentiment analysis is helping agents better understand customer mood and intent, leading to more empathetic and efficient interactions and a better overall customer experience . Even more promising is the rise of agentic AI. This technology goes beyond supporting decisions; it can make them. It allows AI systems to reason, troubleshoot, and take action with minimal human input. In practical terms, that means handling common customer queries end-to-end, freeing up human agents for more complex cases. AI is also boosting operational efficiency. It automates repetitive tasks such as document management , form filling, and data extraction. In sectors like insurance or healthcare, where case management involves large volumes of structured and unstructured data, AI can drastically cut processing times while improving consistency. These use cases may seem behind the scenes, but they matter. They represent practical, measurable improvements to core operations. They reduce costs, enhance experiences, and give staff more time to focus on higher-value work. That’s real value, not just buzz. The roadblocks to real impact But let’s not pretend it’s all smooth sailing. For every success story, there are countless stalled pilots and unrealized ambitions. So, what’s holdi
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Original reporting: Latest from TechRadar US in News,opinion