International Conference on Big Data and Predictive Analytics in Insurance ICBDPAI

Call For Papers

The ICBDPAI 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 Insurance , 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 insurance analytics

Predictive modeling for risk assessment

Data privacy concerns in insurance analytics

Machine learning techniques in insurance

Real-time data usage in underwriting

Data-driven decision making in insurance

Challenges of big data integration

Ethical implications of data usage

Customer insights through data analytics

Impact of big data on claims processing

Data visualization techniques for insurers

Role of IoT in insurance data collection

Data governance in insurance organizations

Big data and regulatory compliance

Future trends in insurance analytics

Insurance fraud detection using big data

Data literacy in insurance workforce

Collaboration between data scientists and insurers

Impact of big data on customer experience

Insurance market trends driven by data

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