International Conference on Big Data Analytics and IT Innovation Strategies

ICBDAITIS

17th Oct – 18th Oct 2026 Prague, Czech Republic

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Access to All Conference Sessions

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Registration Summary

Conference ICBDAITIS

Date 17th Oct – 18th Oct 2026

Location Prague, Czech Republic

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 Big Data Analytics +

This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present their findings on innovative analytical frameworks and tools that enhance data processing capabilities.

SDG 9 SDG 11

02 Machine Learning Algorithms for Big Data +

This session explores the application of machine learning algorithms in the context of big data. Contributions should highlight novel approaches that improve predictive modeling and data integration.

SDG 4 SDG 9

03 Cloud Computing and Scalable Systems +

This track examines the role of cloud computing in enabling scalable systems for big data applications. Papers should discuss architectural innovations and performance enhancements in cloud-based environments.

SDG 9 SDG 11

04 Intelligent Systems and Automation +

This session addresses the development of intelligent systems that leverage big data for automation. Submissions should focus on AI-driven solutions that optimize processes and improve decision-making.

SDG 8 SDG 9

05 Data Governance and Compliance +

This track investigates the frameworks and strategies for effective data governance in big data environments. Researchers are encouraged to discuss compliance challenges and solutions in data management.

SDG 16

06 Innovative IT Infrastructure Strategies +

This session focuses on the design and implementation of innovative IT infrastructure to support big data initiatives. Papers should explore the integration of emerging technologies and best practices in infrastructure management.

SDG 9 SDG 11

07 Business Intelligence and Analytics Tools +

This track highlights the development and application of business intelligence tools in the realm of big data analytics. Contributions should demonstrate how these tools facilitate data-driven decision-making.

SDG 8 SDG 9

08 Cybersecurity in Big Data Environments +

This session examines the intersection of big data and cybersecurity, focusing on the challenges and solutions in protecting sensitive information. Researchers are invited to present innovative security frameworks and strategies.

SDG 16

09 Data Processing and Analytics Frameworks +

This track delves into the various frameworks designed for efficient data processing and analytics. Submissions should address performance optimization and scalability in analytics frameworks.

SDG 9 SDG 11

10 Predictive Modeling Techniques +

This session focuses on the development and application of predictive modeling techniques in big data contexts. Researchers are encouraged to share their insights on enhancing model accuracy and reliability.

SDG 9 SDG 11

11 Emerging Trends in Data Science +

This track explores the latest trends and innovations in data science as they relate to big data and machine learning. Contributions should highlight transformative approaches and their implications for the field.

SDG 4 SDG 9