ICDSBAI · Registering as Listener

International Conference on Data Science for Business Analytics and Intelligence

7th Oct – 8th Oct 2026 Anuradhapura, Sri Lanka Standard / Physical Participation
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ConferenceICDSBAI
ModeStandard / Physical
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Data Science for Business Analytics and Intelligence conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 16 - Peace, Justice and Strong Institutions

This track focuses on the latest methodologies and applications of predictive analytics in various business contexts. Participants will explore case studies that demonstrate the impact of predictive modeling on decision-making processes.

This session will delve into the integration of machine learning algorithms in business intelligence frameworks. Attendees will learn how these techniques enhance data-driven decision-making and operational efficiency.

This track examines the role of big data analytics in shaping effective business strategies. Discussions will highlight tools and techniques that enable organizations to harness large datasets for competitive advantage.

This session will explore the intersection of artificial intelligence and data science, focusing on innovative applications that drive business success. Participants will discuss the ethical implications and future trends of AI in analytics.

This track emphasizes the importance of data mining in uncovering hidden patterns and insights from large datasets. Researchers will present novel approaches that facilitate knowledge discovery in various industries.

This session will cover various forecasting methods and their applications in business analytics. Attendees will gain insights into how accurate forecasting can significantly improve strategic planning and resource allocation.

This track investigates the integration of data science techniques into decision support systems. Participants will discuss how these systems enhance organizational decision-making capabilities.

This session will focus on advanced statistical methods used in data analysis for business applications. Researchers will share their findings on the effectiveness of these methods in deriving actionable insights.

This track addresses the ethical considerations and privacy concerns associated with data science practices. Discussions will revolve around best practices for ensuring data integrity and compliance.

This session will explore the significance of real-time analytics in enhancing business operations. Participants will learn about tools and technologies that facilitate immediate data processing and analysis.

This track highlights the latest trends and innovations in data science research relevant to business analytics. Researchers will present cutting-edge studies that pave the way for future developments in the field.

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