AI-centric Modelling and Analytics
Concepts, Designs, Technologies, and Application

In the industrial revolution 4.0, the numerous AI-centric technologies and applications are becoming more modern and unpredictable world, most companies are keen to leverage multi-faceted AI-centric Modelling, and Predictive Analytics to deploy and deliver next-generation smart businesses and applications to their clients anywhere, anytime.

This book targets a mixed audience of business analysts, financial analysts, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories and practices to resolve the challenging issues associated with the leveraging of combating the six fields of AI-centric Modelling, Data Analytics, ML-aided Models, IoT-driven Applications, Cybersecurity Techniques, and Cloud-enabled Platforms for developing a smart business systems in the era of AI and Data Science.

We really believe that the technologies and applications of the “AI-centric Modelling and Analytics: Concepts, Designs, Technologies, and Applications” book will favor the people's aspirations.

AI-aided IoT Technologies and Applications in Smart Business and Production 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.

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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 Production
• Big Data Process Lifecycle and Technologies
• AI-centric Modelling in Business and Production
• Machine Learning Models in Business Systems
• Deep Learning Frameworks in Business Systems
• Data 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
• AI-centric Application of Business Systems
• Data Privacy and Cybersecurity Techniques
• Cloud-base Data in Business and Production
• Case Studies: Big Data Technologies, Cloud and Cybersecurity

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