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ICBDMLITIS · Registering as Listener

International Conference on Big Data and ML-driven IT Innovation Strategies

11 - 12 Jun 2027 Paris, France Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICBDMLITIS
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

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

SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities SDG 12 - Responsible Consumption and Production
01 Innovative Applications of Big Data in Engineering +
This track explores the transformative applications of big data within engineering disciplines. It focuses on case studies and methodologies that leverage big data for enhanced decision-making and operational efficiency.
02 Machine Learning Techniques for Predictive Analytics +
This session delves into advanced machine learning algorithms and their applications in predictive analytics. Participants will discuss the effectiveness of various models in forecasting trends and optimizing processes.
03 Cloud Computing Solutions for Scalable IT Infrastructure +
This track examines the role of cloud computing in developing scalable IT infrastructures. It highlights innovative strategies for leveraging cloud technologies to enhance data storage, processing, and accessibility.
04 Intelligent Systems and Automation in Engineering +
This session focuses on the integration of intelligent systems and automation in engineering practices. It aims to showcase advancements that improve efficiency, accuracy, and safety in engineering operations.
05 Data Analytics Frameworks for Business Intelligence +
This track investigates various data analytics frameworks that support business intelligence initiatives. Participants will explore how these frameworks can be utilized to derive actionable insights from large datasets.
06 AI Algorithms for Enhanced Decision-Making +
This session highlights the application of artificial intelligence algorithms in decision-making processes. It emphasizes the importance of AI in improving the quality and speed of engineering decisions.
07 System Optimization Techniques in IT Infrastructure +
This track focuses on innovative techniques for optimizing IT infrastructure systems. Discussions will center on methodologies that enhance performance, reduce costs, and improve reliability.
08 Big Data Analytics in Smart Manufacturing +
This session explores the application of big data analytics in the context of smart manufacturing. It aims to highlight how data-driven insights can lead to improved production processes and product quality.
09 Challenges and Solutions in Machine Learning Deployment +
This track addresses the challenges faced during the deployment of machine learning models in real-world applications. Participants will discuss best practices and innovative solutions to overcome these obstacles.
10 Data-Driven Strategies for IT Innovation +
This session examines how data-driven strategies can foster innovation in IT. It focuses on the intersection of data analytics and IT development to drive forward-thinking solutions.
11 Future Trends in Big Data and Machine Learning +
This track looks ahead to future trends in big data and machine learning technologies. Participants will explore emerging technologies and their potential impact on engineering and IT innovation.