Author: Dieu Anh NguyenAs a marketing enthusiast with a strong curiosity for innovation, she is driven by the evolving relationship between consumer behavior and digital technology. Dieu Anh's background in marketing has equipped her with a solid understanding of branding, communications, and market analysis, which she continually seeks to enhance through emerging trends. Eager to explore the frontiers of artificial intelligence in marketing, she joined Verysell AI to gain deeper insight into how intelligent systems refine customer engagement.

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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AI in insurance is no longer a futuristic promise but a present operational reality, particularly in claims management. For decades, insurance claims have been defined by paperwork, manual verification, fragmented data, and long settlement cycles that frustrate both insurers and policyholders. Today, advances in artificial intelligence are fundamentally reshaping this process, moving claims handling from […]

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Multi-agent workflows represent a decisive shift in how banks, financial institutions, and insurance providers design, deploy, and scale automation. Rather than relying on a single monolithic system or a linear rules engine, this approach distributes intelligence across multiple specialized agents that collaborate toward shared objectives. For the BFSI sector, where complexity, regulation, and risk intersect […]

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LLM-driven knowledge is emerging as a transformative lever that enables companies to preserve institutional expertise, translate it into usable formats, and make it accessible at scale. Across industries, organisations are experiencing a structural shift: a rapidly aging workforce, combined with declining talent pipelines, threatens operational continuity. The retirement of experienced employees does not simply create […]

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For decades, predictive maintenance strategies in manufacturing and industrial operations have relied on fixed schedules, manual inspections, and standardized routines. While preventive maintenance has certainly reduced catastrophic breakdowns compared to reactive maintenance, it is inherently limited by its reliance on predetermined intervals rather than real conditions. As equipment becomes more complex and production lines integrate […]

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Artificial Intelligence has emerged as one of the most transformative forces in modern manufacturing. From predictive maintenance and computer-vision inspection to autonomous quality monitoring and intelligent supply chain coordination, AI promises unprecedented efficiency and resilience. Yet, despite this potential, many manufacturers struggle to translate early Proof of Concept (PoC) success into a stable, factory-wide deployment. […]

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AI + SME (small and medium-sized enterprises) face a growing array of financial risks from cash-flow problems and credit defaults to fraud, compliance lapses, or sudden market shifts. Yet many SMEs lack the resources dedicated risk officers, sophisticated analytics teams, or deep credit histories that large corporations use to manage those risks. Once the province […]

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In the rapidly evolving landscape of Large Language Models (LLMs), a critical bottleneck has emerged: knowledge stagnation. Once an AI model is trained, its internal knowledge is frozen in time. To bridge the gap between static training data and the dynamic real world, researchers and engineers have turned to a powerful paradigm known as Retrieval […]

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