Titlebook: Computational Intelligence for Modern Business Systems; Emerging Application Sandeep Kautish,Prasenjit Chatterjee,Deepmala Sing Book 2024 T

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https://doi.org/10.1007/978-981-16-0776-9 side. Thus, the CRM system rapidly processes a huge volume of data from the consumer and uploads numerous data from the supplier or manufacturer. In such cases, an efficient way of handling this voluminous data is highly needed. The advent of Data Mining techniques and their rapid growth makes it e

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Benedikt Kost,Joachim W. Kadereit to identify the impact of cultural shock during the pandemic time especially in the service sector management as people are constrained to work from home and that is also to some extent detrimental to their mental health. In this present study, the researchers are trying to explore the possible att

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Kontrolle der Entwicklung durch Phytohormoneogies are at an inflection point, have never been seen before, and definitely can aid in further advancement of business strategies. In this chapter, we discuss one such tool that uses advanced image processing and deep learning algorithms to segment the failure regions from disintegrated automobile

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Artificial Intelligence and Machine Learning in Financial Services to Improve the Business System motivation, and background that entails a block diagram of learning techniques, benefits, and various issues related to implementing machine learning techniques in the financial domain. Other things covered in this chapter are various datasets used by different researchers, and its focal point is t

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Trust the Machine and Embrace Artificial Intelligence (AI) to Combat Money Laundering Activitiesmatic review of key technologies categorized into artificial intelligence or machine learning (AI or ML), natural language processing (NLP), robotic process automation (RPA), and cloud-based solutions. However, various challenges concerned with these techniques, such as data quality, the nature of m

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