IA aplicada a la academia y la empresa
The volume AI in academia and business presents an interdisciplinary analysis of the integration of artificial intelligence across key domains such as scientific research, education, and digital marketing; this work brings together four chapters that examine the impact of these technologies from tec...
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| Hauptverfasser: | , , , |
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| Format: | Online |
| Sprache: | Spanisch |
| Veröffentlicht: |
Editorial Unión Científica
2026
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| Schlagworte: | |
| Online-Zugang: | https://directory.doabooks.org/handle/20.500.12854/176352 |
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| Zusammenfassung: | The volume AI in academia and business presents an interdisciplinary analysis of the integration of artificial intelligence across key domains such as scientific research, education, and digital marketing; this work brings together four chapters that examine the impact of these technologies from technical, pedagogical, ethical, and social perspectives. In this context, the purpose of the volume is to analyze how artificial intelligence reshapes knowledge production processes, teaching-learning dynamics, and the understanding of consumer behavior in contemporary digital environments. The overall methodology is based on systematic reviews of scientific literature following PRISMA 2020 guidelines, enabling the identification, selection, and analysis of empirical evidence published between 2020 and 2025 in indexed databases; this approach ensures methodological rigor, transparency, and validity in the synthesis of findings. Through thematic analysis, categories are structured around the automation of research processes, personalized learning, consumer behavior analytics, and the ethical challenges associated with the use of intelligent technologies. The findings demonstrate that artificial intelligence enhances efficiency in scientific production, improves educational outcomes through adaptive systems, and transforms marketing strategies through personalization and predictive decision-making; however, risks related to ethics, privacy, information quality, and the digital divide are also identified. Consequently, the volume concludes that artificial intelligence constitutes a strategic axis of social transformation, whose implementation requires a critical, regulated, and human-centered approach. |
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