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ICBDMLICI · Registering as Listener

International Conference on Big Data and Machine Learning for IT Cloud Innovations

22nd Dec – 23rd Dec 2026 Mombasa, Kenya Standard / Physical Participation

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ConferenceICBDMLICI

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Big Data and Machine Learning for IT Cloud 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. Researchers are invited to present their findings on innovative approaches that enhance data processing and interpretation.

This session will explore various machine learning algorithms and their applications in IT environments. Contributions that demonstrate the effectiveness of these techniques in solving real-world problems are encouraged.

This track examines the architectural frameworks that support big data processing in cloud environments. Papers discussing scalability, reliability, and performance optimization in cloud computing are welcome.

This session highlights the role of predictive analytics in enhancing business intelligence capabilities. Submissions should focus on case studies or frameworks that leverage data for strategic decision-making.

This track delves into the integration of intelligent systems and automation in IT processes. Researchers are invited to share insights on how these technologies can improve efficiency and reduce operational costs.

This session will address the challenges and solutions related to data integration in cloud-based systems. Papers that propose novel integration frameworks or methodologies are particularly encouraged.

This track focuses on the development and application of AI algorithms for data processing tasks. Contributions that demonstrate improved performance or novel applications of AI in big data contexts are sought.

This session explores scalable computing solutions that facilitate the processing of large datasets. Researchers are invited to present innovative approaches that address scalability challenges in big data environments.

This track examines optimization strategies for IT infrastructure to support big data and machine learning applications. Papers that discuss resource allocation, performance tuning, and cost reduction strategies are welcome.

This session will showcase frameworks designed for effective data analytics in cloud settings. Contributions that highlight the integration of analytics tools and cloud technologies are encouraged.

This track aims to identify and discuss emerging trends in big data and machine learning. Researchers are invited to share their perspectives on future directions and innovations in these fields.