International Conference on Big Data-driven AI and IT Innovation

ICBDAITI

15th Dec – 16th Dec 2026 Vancouver, Canada

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Registration Summary

Conference ICBDAITI

Date 15th Dec – 16th Dec 2026

Location Vancouver, Canada

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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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 Big Data Analytics +

This track focuses on the latest advancements in big data analytics techniques and tools. Researchers are invited to present their findings on novel methodologies that enhance data interpretation and decision-making.

SDG 9 SDG 12

02 Machine Learning Applications in Engineering +

This session explores the integration of machine learning algorithms in various engineering domains. Contributions that demonstrate practical applications and case studies are highly encouraged.

SDG 4 SDG 9

03 Cloud Computing for Big Data Solutions +

This track examines the role of cloud computing in facilitating big data processing and storage. Papers should address scalability, performance, and cost-effectiveness of cloud-based solutions.

SDG 9 SDG 11

04 Intelligent Systems and Automation +

This session focuses on the development of intelligent systems that leverage big data for automation. Contributions should highlight innovative approaches to system design and optimization.

SDG 9 SDG 12

05 Predictive Analytics in IT Infrastructure +

This track investigates the application of predictive analytics in enhancing IT infrastructure management. Researchers are invited to discuss techniques that improve reliability and efficiency.

SDG 9 SDG 11

06 Data Integration Techniques for Big Data +

This session addresses challenges and solutions related to data integration in big data environments. Contributions should explore methodologies that ensure seamless data flow across diverse systems.

SDG 9 SDG 12

07 AI Algorithms for Enhanced Decision Making +

This track focuses on the development and application of AI algorithms that support decision-making processes. Papers should present innovative approaches that improve accuracy and efficiency.

SDG 9 SDG 12

08 Frameworks for Scalable Computing +

This session examines frameworks that enable scalable computing for big data applications. Contributions should discuss architectural designs and performance evaluations of these frameworks.

SDG 9 SDG 11

09 Business Intelligence Driven by Big Data +

This track explores the intersection of business intelligence and big data analytics. Researchers are encouraged to present studies that demonstrate how big data can inform strategic business decisions.

SDG 8 SDG 9

10 Data Processing Techniques in Machine Learning +

This session focuses on innovative data processing techniques that enhance machine learning outcomes. Contributions should highlight preprocessing, feature selection, and data augmentation methods.

SDG 9 SDG 12

11 Optimization Strategies for IT Systems +

This track investigates optimization strategies for IT systems leveraging big data and AI technologies. Papers should present methodologies that enhance system performance and resource utilization.

SDG 9 SDG 11