Call For Papers

The ICPABD bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Predictive analytics techniques and methodologies
02
Big data applications in forecasting
03
Machine learning for predictive modeling
04
Data-driven strategies for risk management
05
Predictive analytics in finance and banking
06
Healthcare predictive analytics and insights
07
Customer behavior prediction using analytics
08
Real-time predictive analytics applications
09
Ethics in predictive analytics practices
10
Predictive analytics for marketing strategies
11
Challenges in implementing predictive analytics
12
Case studies in predictive analytics success
13
Data visualization for predictive insights
14
Big data tools for predictive analytics
15
Collaborative approaches to predictive modeling
16
Predictive analytics in supply chain management
17
Future trends in predictive analytics
18
Data governance in predictive analytics projects
19
Predictive maintenance analytics in industries
20
Emerging technologies in predictive analytics

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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