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Statements

Subject Item
dbr:Marketing_and_artificial_intelligence
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التسويق والذكاء الاصطناعي Marketing and artificial intelligence
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The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert systems, computer programs that process input and provide valuable output for marketers. يلتقي مجالي التسويق والذكاء الاصطناعي في النظم التي تساعد في مجالات مثل التنبؤ بالسوق، وأتمتة العمليات واتخاذ القرار، إلى جانب زيادة كفاءة المهام التي عادة ما يؤديها البشر. يمكن تفسير العلم وراء هذه النظم من خلال الشبكات العصبونية ونظم الخبير وهي برامج حاسوبية تعالج المدخلات وتوفر مخرجات قيّمة للمسوقين.
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dbc:Marketing dbc:Mass_media_monitoring dbc:Applications_of_artificial_intelligence
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يلتقي مجالي التسويق والذكاء الاصطناعي في النظم التي تساعد في مجالات مثل التنبؤ بالسوق، وأتمتة العمليات واتخاذ القرار، إلى جانب زيادة كفاءة المهام التي عادة ما يؤديها البشر. يمكن تفسير العلم وراء هذه النظم من خلال الشبكات العصبونية ونظم الخبير وهي برامج حاسوبية تعالج المدخلات وتوفر مخرجات قيّمة للمسوقين. يمكن تطبيق نظم الذكاء الاصطناعي النابع من تكنولوجيا الحوسبة الاجتماعية لفهم الشبكات الاجتماعية على شبكة الإنترنت. يمكن استخدام تقنيات التنقيب في البيانات لتحليل أنواع مختلفة من الشبكات الاجتماعية. يعمل هذا التحليل على مساعدة المسوق في تحديد الجهات الفاعلة أو العقد المؤثرة داخل الشبكات، وهي المعلومات التي يمكن تطبيقها آنذاك لاتخاذ نهج تسويقي اجتماعي حضاري. The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert systems, computer programs that process input and provide valuable output for marketers. Artificial intelligence systems stemming from social computing technology can be applied to understand social networks on the Web. Data mining techniques can be used to analyze different types of social networks. This analysis helps a marketer to identify influential actors or nodes within networks, information which can then be applied to take a societal marketing approach.
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