Important Dates
Early Bird Registration :21st July 2026
Paper Submission Deadline :26th July 2026
Last Date of Registration : 5th August 2026
Date of Conference : 20th - 21st August 2026
Conference Session Tracks
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.
SDG 1 — No Poverty
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Predictive Analytics in Financial Markets
This track focuses on the application of predictive analytics techniques in forecasting financial market trends. Researchers are invited to present innovative models that leverage big data to enhance decision-making in finance.
Track 02
Machine Learning Applications in Finance
This session explores the integration of machine learning algorithms in financial analytics. Contributions should highlight novel approaches that improve accuracy in financial predictions and risk assessments.
Track 03
Data Visualization Techniques for Financial Insights
This track emphasizes the importance of data visualization in interpreting complex financial datasets. Presentations should showcase effective visualization strategies that facilitate better understanding and communication of financial information.
Track 04
Risk Analytics and Management in Finance
This session addresses the role of big data in enhancing risk analytics and management practices. Papers should discuss methodologies that identify, assess, and mitigate financial risks using advanced analytics.
Track 05
AI-Driven Solutions for Business Analytics
This track investigates the impact of artificial intelligence on business analytics within the finance sector. Submissions should explore AI methodologies that drive efficiency and effectiveness in financial decision-making.
Track 06
Financial Data Mining Techniques
This session focuses on innovative data mining techniques applied to financial datasets. Researchers are encouraged to present findings that reveal hidden patterns and insights critical for financial analysis.
Track 07
Economic Analytics and Policy Implications
This track examines the intersection of economic analytics and financial policy-making. Contributions should analyze how big data can inform economic strategies and enhance policy effectiveness.
Track 08
Data Governance in Financial Analytics
This session highlights the significance of data governance frameworks in the context of financial analytics. Papers should address best practices for ensuring data quality, security, and compliance in financial institutions.
Track 09
System Optimization in Financial Operations
This track explores optimization techniques that enhance operational efficiency in finance through big data analytics. Presentations should focus on case studies or methodologies that demonstrate successful optimization outcomes.
Track 10
Intelligent Systems for Financial Decision Support
This session investigates the development of intelligent systems that support financial decision-making processes. Submissions should showcase advancements in technology that facilitate smarter, data-driven financial choices.
Track 11
Trends in Financial Modeling with Big Data
This track delves into the evolving landscape of financial modeling techniques influenced by big data. Researchers are invited to present innovative models that incorporate vast datasets to improve financial forecasting and analysis.