International Conference on Machine Learning-driven Big Data Solutions in IT

ICMLBDSIT

18th Sep – 19th Sep 2026 Istanbul, Turkey

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Registration Summary

Conference ICMLBDSIT

Date 18th Sep – 19th Sep 2026

Location Istanbul, Turkey

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 Advancements in Predictive Analytics +

This track focuses on the latest methodologies and applications of predictive analytics in various domains. Researchers are encouraged to present innovative approaches that leverage machine learning techniques to enhance decision-making processes.

SDG 9 SDG 12

02 Intelligent Systems and Automation +

This session explores the integration of intelligent systems in automating complex processes across industries. Contributions should highlight the role of machine learning in enhancing system efficiency and effectiveness.

SDG 8 SDG 9

03 Cloud Computing for Big Data Solutions +

This track examines the intersection of cloud computing and big data, emphasizing scalable solutions for data storage and processing. Papers should discuss novel architectures and frameworks that facilitate cloud-based analytics.

SDG 9 SDG 11

04 AI Algorithms for Data Processing +

This session invites research on innovative AI algorithms designed for efficient data processing. Contributions should demonstrate how these algorithms improve the handling of large datasets in real-time applications.

SDG 9 SDG 12

05 Analytics Frameworks for Business Intelligence +

This track focuses on the development and implementation of analytics frameworks that drive business intelligence. Researchers are encouraged to showcase frameworks that effectively transform data into actionable insights.

SDG 8 SDG 9

06 Scalable Computing Techniques +

This session addresses the challenges and solutions related to scalable computing in big data environments. Papers should present techniques that enhance computational efficiency and resource management.

SDG 9 SDG 12

07 Data Integration Strategies +

This track explores innovative strategies for data integration from heterogeneous sources. Contributions should highlight methods that ensure data quality and consistency while facilitating comprehensive analysis.

SDG 9 SDG 12

08 System Optimization in IT +

This session focuses on optimization techniques for IT systems utilizing big data and machine learning. Researchers are invited to present methodologies that enhance system performance and resource allocation.

SDG 9 SDG 12

09 Performance Monitoring in Intelligent Systems +

This track examines the metrics and methodologies for performance monitoring in intelligent systems. Papers should discuss how monitoring can inform system improvements and operational efficiencies.

SDG 9 SDG 12

10 Machine Learning Applications in Industry +

This session highlights practical applications of machine learning in various industrial contexts. Contributions should demonstrate the impact of machine learning on operational processes and outcomes.

SDG 8 SDG 9

11 Future Trends in Big Data and AI +

This track invites discussions on emerging trends and future directions in the fields of big data and artificial intelligence. Researchers are encouraged to speculate on the implications of these trends for technology and society.

SDG 9 SDG 12