Hybrid Conferencee

International Conference on Big Data and Predictive Analytics in Insurance (ICBDPAI - 26)

17th - 18th August 2026 | Boston, USA

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Boston conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Boston, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Boston."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Innovations in Insurance Analytics

This track explores cutting-edge methodologies in insurance analytics, focusing on the application of big data techniques to enhance decision-making processes. Participants will discuss the integration of predictive models and analytics tools in optimizing insurance operations.

Track 02

Machine Learning Applications in Insurance

This session delves into the transformative role of machine learning in the insurance sector, highlighting case studies and practical implementations. Attendees will examine how algorithms can improve risk assessment and operational efficiency.

Track 03

Data-Driven Risk Management Strategies

This track focuses on the development of data-driven strategies for effective risk management in insurance. Discussions will center on leveraging big data to identify, assess, and mitigate risks in various insurance domains.

Track 04

Claims Analytics and Fraud Detection

This session addresses the importance of claims analytics in detecting and preventing fraud within the insurance industry. Participants will explore advanced analytical techniques that enhance the accuracy and efficiency of claims processing.

Track 05

Customer Data Utilization in Insurance

This track investigates the role of customer data in shaping insurance products and services. Discussions will include strategies for harnessing customer insights to drive personalization and improve customer satisfaction.

Track 06

Real-Time Analytics in Insurance Operations

This session highlights the significance of real-time analytics in enhancing operational responsiveness within insurance companies. Participants will discuss the challenges and opportunities associated with implementing real-time data solutions.

Track 07

Predictive Modeling for Insurance Forecasting

This track focuses on the development and application of predictive models for accurate insurance forecasting. Attendees will explore various modeling techniques and their implications for future insurance trends.

Track 08

AI-Driven Underwriting Innovations

This session examines the impact of artificial intelligence on underwriting processes in the insurance industry. Participants will discuss how AI technologies can streamline underwriting and improve risk evaluation.

Track 09

Insurance Data Management Best Practices

This track addresses the critical aspects of data management within the insurance sector, emphasizing best practices for data governance and quality. Discussions will include frameworks for effective data integration and management.

Track 10

Ethical Considerations in Insurance Analytics

This session explores the ethical implications of using big data and analytics in insurance practices. Participants will engage in discussions about privacy, data security, and the responsible use of analytics.

Track 11

Future Trends in Predictive Analytics for Insurance

This track looks ahead to emerging trends in predictive analytics that are likely to shape the future of the insurance industry. Attendees will discuss innovations and technologies that could redefine insurance analytics.