International Conference on Data Analytics for Financial Services Innovation

ICDAFSI

27th Aug – 28th Aug 2026 Tianjin, China

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Registration Summary

Conference ICDAFSI

Date 27th Aug – 28th Aug 2026

Location Tianjin, China

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Innovations in Financial Data Analytics +

This track explores the latest advancements in financial data analytics, emphasizing methodologies that enhance decision-making in financial services. Contributions may include novel algorithms, frameworks, and applications that leverage data for improved financial outcomes.

SDG 8 SDG 9

02 Risk Assessment and Management in Finance +

This session focuses on the integration of data analytics in risk assessment and management within financial institutions. Papers should address techniques for identifying, quantifying, and mitigating financial risks using advanced analytical tools.

SDG 1 SDG 16

03 Predictive Modeling Techniques for Financial Forecasting +

This track invites research on predictive modeling techniques that enhance financial forecasting accuracy. Contributions may include case studies, empirical analyses, and theoretical advancements in the application of predictive analytics in finance.

SDG 8 SDG 9

04 Machine Learning Applications in Banking +

This session highlights the application of machine learning techniques in banking operations and customer service. Topics may include automated decision-making, customer segmentation, and personalized financial products.

SDG 8 SDG 9

05 Fraud Detection and Prevention Strategies +

This track examines innovative data-driven strategies for fraud detection and prevention in financial services. Papers should focus on the effectiveness of various analytical approaches in identifying fraudulent activities.

SDG 16

06 Portfolio Optimization through Data Analytics +

This session explores the role of data analytics in portfolio optimization strategies. Contributions should discuss quantitative methods and algorithms that enhance investment performance and risk-adjusted returns.

SDG 8 SDG 9

07 Credit Risk Modeling and Assessment +

This track focuses on the development and application of credit risk models using data analytics. Papers should address methodologies for assessing creditworthiness and predicting default probabilities.

SDG 1 SDG 8

08 Banking Analytics: Trends and Challenges +

This session investigates current trends and challenges in banking analytics, including the integration of big data and AI technologies. Contributions should highlight practical implications and future directions for banking analytics.

SDG 9 SDG 16

09 Investment Analytics and Decision Support Systems +

This track emphasizes the role of data analytics in investment decision-making processes. Papers should explore decision support systems that utilize quantitative analysis for informed investment strategies.

SDG 8 SDG 9

10 Regulatory Compliance and Data Analytics +

This session examines the intersection of regulatory compliance and data analytics in the financial sector. Contributions should discuss how analytics can facilitate compliance with evolving regulations and enhance reporting accuracy.

SDG 16

11 Data Visualization Techniques in Financial Analytics +

This track focuses on the importance of data visualization in conveying complex financial information. Papers should explore innovative visualization techniques that aid in the interpretation and communication of financial data insights.

SDG 9 SDG 16