Data-driven modelling and predictive analytics in business and finance: concepts, designs, technologies, and applications
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, an...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
2024
|
| Ausgabe: | First edition |
| Schriftenreihe: | Advances in computational collective intelligence
|
| Schlagworte: | |
| Online-Zugang: | DE-824 Volltext |
| Zusammenfassung: | Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices |
| Beschreibung: | "An Auerbach Book. OCLC-licensed vendor bibliographic record |
| Beschreibung: | 1 Online-Ressource (xviii, 423 Seiten) |
| ISBN: | 9781032618845 1032618841 9781040088463 1040088465 9781040036532 1040036538 |
| DOI: | 10.1201/9781032618845 |
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| discipline | Wirtschaftswissenschaften |
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| format | Electronic eBook |
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| id | DE-604.BV050218440 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-03T10:01:29Z |
| institution | BVB |
| isbn | 9781032618845 1032618841 9781040088463 1040088465 9781040036532 1040036538 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035553454 |
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| owner | DE-824 |
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| physical | 1 Online-Ressource (xviii, 423 Seiten) |
| psigel | ZDB-7-TFC ZDB-7-TFC UEI_PDA_TFC2_Kauf |
| publishDate | 2024 |
| publishDateSearch | 2024 |
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| publisher | CRC Press, Taylor & Francis Group |
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| series2 | Advances in computational collective intelligence |
| spelling | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications edited by Alex Khang [and 4 others] First edition Boca Raton, FL CRC Press, Taylor & Francis Group 2024 1 Online-Ressource (xviii, 423 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in computational collective intelligence "An Auerbach Book. OCLC-licensed vendor bibliographic record Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Data Processing / General bisacsh Management / Statistical methods Management / Data processing Finance / Statistical methods Finance / Data processing Khang, Alex edt Erscheint auch als Druck-Ausgabe 9781032600628 Erscheint auch als Druck-Ausgabe 9781032601915 https://doi.org/10.1201/9781032618845 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Data Processing / General bisacsh Management / Statistical methods Management / Data processing Finance / Statistical methods Finance / Data processing |
| title | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications |
| title_auth | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications |
| title_exact_search | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications |
| title_full | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications edited by Alex Khang [and 4 others] |
| title_fullStr | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications edited by Alex Khang [and 4 others] |
| title_full_unstemmed | Data-driven modelling and predictive analytics in business and finance concepts, designs, technologies, and applications edited by Alex Khang [and 4 others] |
| title_short | Data-driven modelling and predictive analytics in business and finance |
| title_sort | data driven modelling and predictive analytics in business and finance concepts designs technologies and applications |
| title_sub | concepts, designs, technologies, and applications |
| topic | COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Data Processing / General bisacsh Management / Statistical methods Management / Data processing Finance / Statistical methods Finance / Data processing |
| topic_facet | COMPUTERS / Artificial Intelligence COMPUTERS / Data Processing / General Management / Statistical methods Management / Data processing Finance / Statistical methods Finance / Data processing |
| url | https://doi.org/10.1201/9781032618845 |
| work_keys_str_mv | AT khangalex datadrivenmodellingandpredictiveanalyticsinbusinessandfinanceconceptsdesignstechnologiesandapplications |