This track focuses on innovative methodologies and technologies for real-time data streaming and processing. Researchers are invited to present their findings on frameworks and architectures that enhance the efficiency of real-time data handling.

This session explores the application of predictive modeling and machine learning techniques in various business contexts. Contributions should highlight novel approaches that improve decision-making processes and business outcomes.

This track examines the intersection of Internet of Things (IoT) analytics and event processing systems. Papers should discuss frameworks and algorithms that facilitate real-time insights from IoT-generated data.

This session addresses the challenges and solutions related to data integration in cloud environments for analytics purposes. Researchers are encouraged to share their work on seamless data integration techniques that enhance cloud-based analytics.

This track focuses on leveraging high-performance computing (HPC) to tackle big data analytics challenges. Submissions should present advancements in computational methods that enable efficient processing of large datasets.

This session highlights innovative data visualization techniques that facilitate real-time insights and decision-making. Contributions should demonstrate how effective visualization can enhance the understanding of complex data streams.