AFTER

Conference Session Tracks

11 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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1 — No Poverty

SDG 8 — Decent Work and Economic Growth

SDG 9 — Industry, Innovation and Infrastructure

SDG 12 — Responsible Consumption and Production

SDG 16 — Peace, Justice and Strong Institutions

SDG 17 — Partnerships for the Goals

Session Tracks

Track 01

Innovations in Predictive Modeling for Financial Services

This track focuses on the latest advancements in predictive modeling techniques specifically tailored for the banking and finance sectors. Researchers are encouraged to present their findings on how these models can enhance decision-making and risk management.

Track 02

Data Analytics for Enhanced Risk Assessment

This session will explore the application of data analytics in identifying and mitigating financial risks. Contributions should highlight innovative methodologies and case studies demonstrating effective risk assessment practices.

Track 03

Investment Analysis through Advanced Analytical Techniques

This track aims to discuss the role of advanced analytics in investment analysis, focusing on tools and techniques that improve investment decision-making. Papers should address both theoretical frameworks and practical applications.

Track 04

Portfolio Optimization Strategies in a Data-Driven World

This session will delve into the latest strategies for portfolio optimization using data-driven approaches. Participants are invited to share insights on quantitative methods and their impact on investment performance.

Track 05

Business Intelligence Applications in Banking

This track examines the integration of business intelligence tools in banking operations to enhance efficiency and customer service. Submissions should discuss real-world applications and the impact on operational performance.

Track 06

Market Trends Analysis using Predictive Analytics

This session invites papers that investigate the use of predictive analytics to identify and analyze market trends. Researchers should focus on methodologies that provide actionable insights for financial institutions.

Track 07

Data-Driven Decision Support Systems in Finance

This track will explore the development and implementation of decision support systems powered by data analytics in the finance sector. Contributions should highlight case studies and frameworks that facilitate informed decision-making.

Track 08

Financial Forecasting Techniques in Banking

This session focuses on innovative financial forecasting techniques that leverage advanced analytics. Papers should present new models or improvements to existing methods that enhance forecasting accuracy.

Track 09

Key Performance Indicators (KPIs) in Financial Analytics

This track will discuss the importance of KPIs in evaluating financial performance and operational efficiency. Submissions should explore the development and application of relevant metrics in banking and finance.

Track 10

Operational Efficiency through Advanced Data Analytics

This session aims to highlight how advanced data analytics can drive operational efficiency in financial institutions. Researchers are encouraged to present empirical studies and innovative practices that lead to improved processes.

Track 11

The Future of Banking: Trends in Data-Driven Financial Services

This track will explore emerging trends in data-driven financial services and their implications for the future of banking. Contributions should focus on transformative technologies and their potential to reshape the industry landscape.