Category: Content Writing

Last week, our AI Engineers at Verysell AI spent a meaningful evening together with our colleagues at SmartDev and VeryPay during New Year Party 2026. As the year drew to a close and the early spirit of Tet began to take shape, the gathering offered more than a festive celebration. It created a moment to slow down, reflect on the journey behind us, […]

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AI Failures are no longer rare edge cases or isolated project mishaps. They have become a defining feature of the current phase of AI adoption, where ambition often outpaces organizational readiness. Across industries, enterprises are investing heavily in artificial intelligence with expectations of automation, efficiency, and competitive advantage. Yet many of these initiatives stall, underperform, […]

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Insurance AI is often presented as a breakthrough solution for claims automation, underwriting accuracy, fraud detection, and customer experience. Yet despite heavy investment, many insurance AI initiatives fail to deliver meaningful returns. The problem is rarely the algorithms themselves. Instead, failure almost always traces back to one core issue: organizations attempt to layer AI onto […]

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Autonomous AI is reshaping how organizations operate, enabling systems that don’t merely assist humans but independently observe, decide, and act in pursuit of strategic goals. In this new paradigm, enterprises no longer rely solely on reactive AI tools; instead they evolve toward self-governing, goal-oriented systems capable of driving operational excellence at scale. This evolution carries […]

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ROI (Return on Investment) is the first question every executive asks when an AI initiative is proposed, and it is also the question that determines whether that initiative quietly dies as a pilot or earns the right to scale across the organization. While many leaders assume ROI can only be proven after full deployment, experienced […]

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AI (Artificial intelligence) is moving decisively from experimentation to infrastructure. By 2026 and beyond, AI will no longer be framed as a competitive advantage reserved for leading innovators. It will become a baseline capability that reshapes how economies operate, how organizations create value, and how individuals work and live. The next phase of AI is […]

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Manufacturing AI Exposed is not a critique of artificial intelligence itself, but a sober examination of the points where automation consistently underperforms expectations. Over the past decade, manufacturers have invested heavily in AI-driven systems to improve efficiency, reduce costs, and stabilize quality. While these systems deliver clear value in controlled environments, real-world manufacturing exposes structural […]

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Enterprise AI has moved beyond experimentation. Organizations are now under pressure to deliver measurable value from artificial intelligence while managing cost, risk, speed, and long-term scalability. The central architectural question is no longer whether to adopt AI, but how to do so sustainably. At the core of this decision lies a strategic choice between three […]

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Bias-Safe AI is becoming a foundational requirement for banks as artificial intelligence increasingly influences credit decisions, fraud detection, customer engagement, and risk management. Beyond improving efficiency, banks must ensure that Bias-Safe AI systems operate fairly, transparently, and in line with regulatory and ethical expectations, especially in environments where biased outcomes can directly impact customers’ financial […]

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Autonomous supply chain visibility is redefining how organizations perceive, manage, and optimize complex global supply networks. Instead of relying on delayed reports, fragmented dashboards, or manual reconciliation, businesses are moving toward systems that continuously sense, interpret, and act on supply chain signals in real time. This shift is not simply a technological upgrade; it represents […]

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