Using neural networks to improve business process efficiency
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Академик Е.А.Бөкетов атындағы Қарағанды университетінің баспасы
Abstract
In modern business, neural networks have become a key tool for enhancing efficiency
and competitiveness. Their ability to analyze large volumes of data, identify hidden patterns, and
automate complex processes opens up new opportunities for optimizing various aspects of company
operations. Neural networks are used for demand forecasting, supply chain management, customer
experience personalization, risk prevention, and cost reduction. With the advancement of technology,
their applications will continue to expand, encompassing new industries and business tasks. This
paper examines the key benefits and prospects of using neural networks, as well as their contribution
to the digital transformation of business.
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Keywords
neural networks, artificial intelligence (ai), business processes, data analysis, pattern recognition, big data processing, predictive analytics, recommendation systems, quality control, predictive maintenance, logistics, supply chain management, marketing, personalization, fraud detection, cybersecurity, cost reduction, strategic planning, self-learning systems, healthcare, energy, environmental protection
Citation
Jumageldinov I.M. Using neural networks to improve business process efficiency/I.M.Jumageldinov, A.T.Omarova, Z.S.Takuova// Цифрлық экономика: бизнестің жаңа архитектоникасы және құзыреттіліктер трансформациясы. Халықаралық ғылыми-тәжірибелік конференцияның материалдар жинағы.12 желтоқсан 2024 ж. Ғылыми электрондық басылым = Цифровая экономика: новая архитектоника бизнеса и трансформация компетенций. Сборник материалов международной научно-практической конференции 12 декабря 2024 г. Научное электронное издани=Digital economy: new business architectonics and transformationof competencies. Collection of materials of the International Scientific and Practical Conference December 12th, 2024. Scientific electronic edition. - 2024. 292-296 p.