International Conference on Big Data Analytics and Predictive Modeling ICBDAPM

Call For Papers

The ICBDAPM 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 Data Analytics , encouraging applied research, case studies, and industry-driven innovations.

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

Big data applications in business

Predictive analytics for decision making

Data visualization techniques for insights

Machine learning in data analytics

Data governance and management strategies

Real-time analytics for business operations

Ethics of data usage in business

Data-driven marketing strategies

Challenges in big data implementation

Case studies of successful data analytics

Impact of AI on data analytics

Data privacy regulations and compliance

Business intelligence tools and technologies

Data integration across business functions

Future trends in big data analytics

Data analytics for customer insights

Role of data in strategic planning

Collaboration between data scientists and business

Impact of cloud computing on analytics

Data literacy for business professionals

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.

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Publication

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

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Hybrid Event