Data-driven Modelling and Predictive Analytics in Business and Finance

Data and AI technologies are been rapidly applying to practical applications across a wide variety of business verticals, and analysts are looking for ways to make applications smarter and to make clients’ business easier. With our book, you’ll be able to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions, along with covering advanced Data-driven modelling and predictive analytics techniques that facilitate analytics and learning in the various business applications.

The book mainly focused on the opportunities and challenges for Data-driven modelling and Predictive Analytics for business systems. The fundamental concepts of including advanced techniques, technologies, and tools with the concept of real-time analysis systems. The book will also cover upcoming areas of Data-driven Robotics Process Automation systems useful in many government and private industries. The upcoming trends of smart city and urban development also need low-budget, energy-efficient, and portable real-time systems for smart transport, smart healthcare, and smart communication technologies. This book would be a great collection of Data-driven approaches for overall innovations, developments, and implementation of the business development, management system and finance ecosystem.

We really believe that the technologies and applications of the “Data-driven Modelling and Predictive Analytics in Business and Finance” book will favor the people's aspirations.

Data-driven Modelling and Predictive Analytics in Business and Finance book proceedings will be published by CRC Press, Taylor & Francis Group, Florida, USA

No Publication Charge

Each Contributor shall receive an ACADEMIC CERTIFICATE as the copyright of the Contribution and 01 complimentary eBook copy of the Work in which the Contribution appears.

All Taylor & Francis (T & F) publications have a direct feed (indexed) to WoS and Scopus and newly submitted contents are submitted monthly.
At present, WoS contains 10,000+ books and T & F in the top ten contributing publishers.

All kinds of connected business applications are collectively and/or individually enabled to be intelligent in their operations, offering and output. Precisely speaking, AI-driven and IoT-aided applications are being touted as the next-generation technology to visualize and realize a bevy of intelligent transactions in business systems. We are seeing a host of powerful AI-centric solutions, Predictive Analytics, Cloud-based data, big data technology, IoT-aided techniques, libraries, and relevant frameworks aimed at supporting human-controlled capabilities in intelligent computing and modern AI-centric systems that are used in the business, marketing, supply chain, healthcare, finance, banking, farming, and agriculture fields in the real world.

You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

• The Role of Data in Business and Finance
• Big Data Process Lifecycle and Technologies
• AI-centric Modelling in Business and Finance
• Data-driven Concepts, Definitions and Principles
• The Role of Data-driven Modelling and Analytics
• Financial Data Process Lifecycle
• Data-driven Modelling
• Machine Learning Models
• Deep Learning Frameworks
• Predictive Analytics Tools and Applications
• Risk Management and Analytics Tools
• Credit Risk Modelling and Analytics Tools
• RPA Application in Data Management
• KPI Dashboard and Prediction Tools
• Blockchain Application
• Cloud-based Data Management
• Data Privacy and Cybersecurity Techniques
• Case Studies: Big Data Technologies, Cloud and Cybersecurity

All questions about submissions should be emailed to

• Key Format Guidelines for Book Chapter Submission
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• Author Guidelines for Book Chapter Submission
  • The title of the chapter should be concise, precise and should clearly state the main aim of the chapter. It must correlate to the proposed book chapter titles conveyed during the call of book chapter submission.
  • Chapter structure, the sections in the book should be at least necessarily the same like Title, Author (s), Abstract, Keywords, Introduction, Main work section, Research implication or findings, Conclusions, Future work, References, and Acknowledgement, if any.
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  • The book chapter submission to the publisher not necessarily the same like.
    • Title [Required]
    • Author (s) [Required]
    • Abstract [Required]
    • Keywords [Required]
    • Introduction [Required]
    • Literature survey [Optional]
    • Research methodology [Optional]
    • Main work section [Required]
    • Conclusions [Required]
    • Future work [Optional]
    • References [Required]
    • Acknowledgment, if any [Optional]
  • Figures should NOT be copied from different websites. If they are copied, please add a reference or re-draw the diagrams.
  • Customized Copyright Form and Permission Verification Form (PVF) will be shared among all authors in the last stage of this book submission to the publisher.