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ICDSABF · Registering as Listener

International Conference on Data Science Applications in Business and Finance

4th Dec – 5th Dec 2026 Manaus, Brazil Standard / Physical Participation

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ConferenceICDSABF

ModeStandard / Physical

ParticipationListener

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Benefits of Registering as Listener

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Data Science Applications in Business and Finance conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 12 - Responsible Consumption and Production

This track focuses on innovative approaches to predictive modeling in business and finance. Participants will explore methodologies that enhance forecasting accuracy and decision-making processes.

This session will delve into the integration of machine learning algorithms in financial analysis and risk management. Attendees will discuss case studies and practical implementations that demonstrate the efficacy of these techniques.

This track emphasizes the role of big data in transforming business strategies and operations. Presentations will highlight analytical frameworks that leverage large datasets for actionable insights.

This session aims to explore various statistical techniques used in assessing and managing financial risks. Discussions will include quantitative risk models and their applications in real-world scenarios.

This track will cover optimization strategies that enhance financial modeling accuracy and efficiency. Participants will examine algorithms and tools that facilitate optimal decision-making in finance.

This session will investigate the application of data mining techniques to uncover patterns and trends in business data. Attendees will learn how these insights can drive strategic business decisions.

This track focuses on the application of regression and classification techniques in various business contexts. Participants will discuss methodologies and their effectiveness in predictive analytics.

This session will explore simulation techniques used for forecasting financial outcomes. Participants will analyze how these methods can improve the reliability of financial predictions.

This track examines the development and implementation of decision support systems that utilize statistical analysis and data science. Discussions will highlight their impact on enhancing business decision-making.

This session will focus on the application of statistical methods in empirical business research. Participants will share insights on how statistical analysis informs business practices and strategies.

This track will highlight the latest trends and innovations in the intersection of data science and finance. Participants will explore future directions and the implications of these advancements for the industry.