Registration summary
ConferenceICBDMLITO
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICBDMLITO conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Big Data Analytics +
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.
02 Machine Learning Techniques for IT Optimization +
This session will explore the application of machine learning algorithms in optimizing IT systems. Contributions should highlight novel techniques that improve performance and efficiency in IT operations.
03 Predictive Analytics in Engineering +
This track emphasizes the role of predictive analytics in engineering applications. Papers should discuss the integration of predictive models to enhance decision-making processes in various engineering domains.
04 Intelligent Systems and Automation +
This session will delve into the development of intelligent systems that leverage big data and machine learning for automation. Submissions should focus on case studies and frameworks that demonstrate successful implementations.
05 Cloud Computing for Scalable Data Solutions +
This track addresses the challenges and solutions related to cloud computing in the context of big data. Researchers are encouraged to present scalable architectures that facilitate efficient data storage and processing.
06 Data Governance and Ethics in AI +
This session will examine the principles of data governance and ethical considerations in AI applications. Contributions should address frameworks that ensure responsible use of data in machine learning.
07 Performance Analysis of Machine Learning Models +
This track focuses on the evaluation and performance analysis of various machine learning models. Papers should provide insights into metrics, benchmarks, and methodologies for assessing model effectiveness.
08 Integration of IT Infrastructure and Big Data +
This session will explore the integration of IT infrastructure with big data technologies. Researchers are invited to discuss strategies that enhance interoperability and system performance.
09 AI Algorithms for Enhanced Decision Making +
This track will focus on the development and application of AI algorithms that support decision-making processes. Submissions should highlight innovative algorithms that improve outcomes in IT optimization.
10 Analytics Frameworks for Real-Time Data Processing +
This session will examine frameworks designed for real-time data analytics. Contributions should discuss architectures that enable rapid data processing and actionable insights.
11 Innovations in IT Optimization Strategies +
This track will showcase innovative strategies and technologies for optimizing IT systems. Researchers are encouraged to present case studies and theoretical advancements that contribute to IT innovation.
