International Conference on Big Data-driven IT Solutions and Machine Learning

ICBDITSML

17th Jun – 18th Jun 2027 Riga, Latvia

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Access to All Conference Sessions

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Connect with global educators & researchers

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Registration Summary

Conference ICBDITSML

Date 17th Jun – 18th Jun 2027

Location Riga, Latvia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Innovations in Big Data Frameworks +

This track focuses on the latest advancements in big data frameworks that enhance data processing capabilities. Researchers are encouraged to present their findings on scalable architectures and their applications in various industries.

SDG 9 SDG 12

02 Machine Learning Algorithms for Predictive Analytics +

This session will delve into novel machine learning algorithms that improve predictive analytics in diverse fields. Contributions should highlight the effectiveness of these algorithms in real-world applications and their impact on decision-making.

SDG 8 SDG 9

03 AI Integration in Information Technology +

This track examines the integration of artificial intelligence into existing IT infrastructures to optimize performance. Papers should explore case studies and frameworks that demonstrate successful AI implementations.

SDG 9 SDG 11

04 Cloud Computing and Big Data Solutions +

This session addresses the intersection of cloud computing and big data, focusing on solutions that enhance data accessibility and processing. Participants are invited to discuss innovative cloud-based architectures and their implications for IT strategies.

SDG 9 SDG 13

05 Data Engineering for Intelligent Systems +

This track emphasizes the role of data engineering in the development of intelligent systems. Submissions should explore methodologies that facilitate the efficient processing and analysis of large datasets.

SDG 4 SDG 9

06 Automation in Data Analytics +

This session investigates the automation of data analytics processes to improve efficiency and accuracy. Researchers are encouraged to present tools and techniques that streamline data analysis workflows.

SDG 9 SDG 12

07 Scalable Computing for Big Data Applications +

This track focuses on scalable computing solutions that address the challenges posed by big data applications. Contributions should highlight innovative approaches to enhance computational efficiency and resource management.

SDG 9 SDG 12

08 Business Intelligence and Data-Driven Decision Making +

This session explores the role of business intelligence in facilitating data-driven decision-making processes. Papers should discuss frameworks and tools that enable organizations to leverage big data for strategic insights.

SDG 8 SDG 9

09 Optimization Techniques in Machine Learning +

This track highlights optimization techniques that enhance the performance of machine learning models. Submissions should focus on novel approaches that improve model accuracy and computational efficiency.

SDG 9 SDG 12

10 IT Innovation through Big Data Analytics +

This session examines how big data analytics drives innovation within IT sectors. Researchers are invited to present case studies that illustrate the transformative impact of data-driven solutions on business practices.

SDG 8 SDG 9

11 AI-Enabled Analytics for Enhanced System Efficiency +

This track focuses on the application of AI-enabled analytics to improve system efficiency across various domains. Contributions should explore methodologies that integrate AI techniques with traditional analytics to yield superior outcomes.

SDG 9 SDG 12