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ICMLMBDITI · Registering as Listener

International Conference on Machine Learning Models for Big Data-driven IT Innovation

16 - 17 Nov 2026 Tokyo, Japan Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICMLMBDITI
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICMLMBDITI conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 Advancements in Machine Learning Algorithms +
This track focuses on the latest developments in machine learning algorithms tailored for big data applications. Participants will explore novel approaches that enhance predictive analytics and improve decision-making processes.
02 Big Data Analytics Frameworks +
This session will delve into various frameworks designed for efficient big data analytics. Attendees will discuss the effectiveness of these frameworks in managing and processing large datasets.
03 Cloud Computing for Scalable IT Solutions +
This track examines the role of cloud computing in providing scalable solutions for big data challenges. Experts will present case studies showcasing the integration of cloud technologies with machine learning models.
04 Intelligent Systems in Business Intelligence +
This session highlights the application of intelligent systems in enhancing business intelligence capabilities. Discussions will center on how machine learning can drive insights and strategic decision-making.
05 Automation in Data-Driven IT Innovation +
This track explores the impact of automation on data-driven IT innovation. Participants will analyze how automated systems can optimize performance and streamline operations in various industries.
06 Performance Monitoring in Big Data Environments +
This session focuses on techniques for performance monitoring in big data environments. Attendees will learn about tools and methodologies that ensure optimal system performance and reliability.
07 AI Algorithms for Enhanced Data Analytics +
This track investigates the application of AI algorithms in improving data analytics processes. Presentations will cover innovative methods that leverage AI to extract meaningful insights from complex datasets.
08 System Optimization Techniques for Big Data +
This session will cover various system optimization techniques specifically designed for big data applications. Experts will share insights on maximizing efficiency and resource utilization in IT infrastructures.
09 Data-Driven Decision Making in IT +
This track emphasizes the importance of data-driven decision making in the IT sector. Participants will discuss strategies for leveraging big data and machine learning to inform critical business decisions.
10 Challenges and Solutions in Big Data Integration +
This session addresses the challenges associated with integrating big data into existing IT systems. Experts will present potential solutions and best practices for seamless integration and data management.
11 Future Trends in Machine Learning for IT Innovation +
This track explores emerging trends in machine learning that are poised to drive IT innovation. Participants will engage in discussions about the future landscape of technology and its implications for big data.