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ICBDMLII · Registering as Listener

International Conference on Big Data and Machine Learning for IT Innovations

12th Nov – 13th Nov 2026 Dhaka, Bangladesh Standard / Physical Participation

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ConferenceICBDMLII

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Big Data and Machine Learning for IT Innovations conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 11 - Sustainable Cities and Communities

SDG 12 - Responsible Consumption and Production

This track focuses on the latest methodologies and technologies in big data analytics. It aims to explore innovative approaches that enhance data processing and interpretation for improved decision-making.

This session will delve into the development and application of machine learning algorithms tailored for IT innovations. Participants will discuss the effectiveness of these algorithms in solving complex IT challenges.

This track examines the various data processing techniques employed in cloud computing environments. It will highlight the scalability and efficiency of these techniques in handling large datasets.

This session aims to explore the role of predictive analytics in enhancing IT operations and strategies. Attendees will share insights on how predictive models can drive innovation and efficiency.

This track investigates the integration of artificial intelligence in modern IT infrastructure. Discussions will focus on how AI can optimize performance and security within IT systems.

This session addresses the critical aspects of data governance and security in big data environments. Participants will explore frameworks and best practices to ensure data integrity and compliance.

This track focuses on scalable computing architectures designed to handle the demands of big data applications. It will cover innovative solutions that enhance processing capabilities and resource management.

This session will explore the intersection of intelligent systems and machine learning applications. Participants will discuss case studies showcasing the impact of these technologies in various sectors.

This track emphasizes advanced data modeling techniques that facilitate better analytics outcomes. It will cover methodologies that improve data representation and analysis.

This session focuses on the use of advanced analytics frameworks for optimizing IT operations. Participants will share insights on how these frameworks can lead to enhanced performance and reduced costs.

This track highlights innovative IT solutions that leverage big data technologies. Discussions will center on real-world applications and the transformative potential of big data in IT.