AI-Centric-Modelling-Analytics-2023: AI-Centric Modelling and Analytics: Concepts, Designs, Technologies, and Applications |
Website | http://gritex.org/ai-centric-modelling-and-analytics.htm |
Submission link | https://easychair.org/conferences/?conf=aicentricmodellingan0 |
Abstract registration deadline | February 28, 2023 |
Full-Chapter Submission | May 30, 2023 |
Full-Length Chapter Decision | June 1, 2023 |
Revised Chapter Submission | June 30, 2023 |
Submission deadline | June 30, 2023 |
T&F Submission deadline | June 30, 2023 |
T&F and Author Agreement | June 30, 2023 |
AI-Centric Modelling and AnalyticsConcepts, Designs, Technologies, and Applications
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.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Chapter Submission: https://easychair.org/conferences/?conf=aicentricmodellingan0
- Book Information: http://gritex.org/ai-centric-modelling-and-analytics.htm
Publication Charge
No Publication Charges
Benefits for Contributor
- Each Contributor shall receive an MANUSCRIPT CERTIFICATE as the copyright of the Contribution
- 01 complimentary eBook copy of the Work in which the Contribution appears.
Abstracting and Indexing
- 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.
List of Topics
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.
We are soliciting work-in-progress chapters and papers from the community. 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
Contact
All questions about submissions should be emailed to
Dr. Alex Khang | Dr. Shashi K. Gupta | Dr. Vugar Abdullayev | Dr. Babasaheb Jadhav | Prof. Gilbert Morris |
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