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Data-Driven Modelling and Predictive Analytics in Business and Finance

- Concepts, Designs, Technologies, and Applications
Engelsk Paperback

Data-Driven Modelling and Predictive Analytics in Business and Finance

- Concepts, Designs, Technologies, and Applications
Engelsk Paperback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser
Normalpris
kr 992
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 423
ISBN-13: 9781032600628
Indbinding: Paperback
Udgave:
ISBN-10: 1032600624
Kategori: Matematik for virksomhedsøkonomer og forretningssystemer
Udg. Dato: 24 jul 2024
Længde: 28mm
Bredde: 156mm
Højde: 233mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 24 jul 2024
Forfatter(e):
Forfatter(e)

Kategori Matematik for virksomhedsøkonomer og forretningssystemer

ISBN-13 9781032600628

Sprog Engelsk

Indbinding Paperback

Sider 423

Udgave

Længde 28mm

Bredde 156mm

Højde 233mm

Udg. Dato 24 jul 2024

Oplagsdato 24 jul 2024

Forlag Taylor & Francis Ltd

Kategori sammenhænge