International Conference on Digital Transformation and Big Data

ICDTBDA

27th Mar – 28th Mar 2027 Sofia, Bulgaria

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Access to All Conference Sessions

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Registration Summary

Conference ICDTBDA

Date 27th Mar – 28th Mar 2027

Location Sofia, Bulgaria

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 Innovative Strategies in Digital Transformation +

This track explores cutting-edge strategies for implementing digital transformation within engineering sectors. Emphasis will be placed on case studies that highlight successful integration of big data technologies.

SDG 9 SDG 11

02 Predictive Analytics in Engineering Applications +

This session focuses on the role of predictive analytics in enhancing engineering processes and decision-making. Participants will discuss methodologies and tools that leverage big data for predictive insights.

SDG 4 SDG 9

03 AI-Driven Transformation in Engineering +

This track examines the impact of artificial intelligence on engineering practices and workflows. Discussions will center on AI applications that facilitate digital transformation and improve operational efficiency.

SDG 8 SDG 9

04 Intelligent Systems and Automation +

This session highlights the development and implementation of intelligent systems in engineering. The focus will be on how these systems utilize big data for automation and enhanced performance.

SDG 8

05 Data Integration Techniques for Big Data +

This track addresses the challenges and solutions related to data integration in big data environments. Participants will explore best practices for ensuring seamless data flow across diverse engineering systems.

SDG 9

06 Machine Learning Applications in Engineering +

This session delves into the application of machine learning algorithms in various engineering domains. Attendees will share insights on how machine learning can optimize processes and drive innovation.

SDG 9 SDG 12

07 Data Analytics for Enhanced Decision-Making +

This track focuses on the use of data analytics to support informed decision-making in engineering. Presentations will cover techniques that transform raw data into actionable insights.

SDG 4 SDG 9

08 System Optimization through Big Data +

This session explores methodologies for system optimization using big data analytics. Participants will discuss frameworks that enhance performance and reduce costs in engineering systems.

SDG 9

09 Digital Innovation in Engineering Practices +

This track investigates the role of digital innovation in reshaping engineering practices. Discussions will include emerging technologies that facilitate significant advancements in the field.

SDG 9 SDG 11

10 Scalable Computing Solutions for Big Data +

This session addresses the challenges of scalable computing in the context of big data analytics. Participants will explore architectures and frameworks that support large-scale data processing.

SDG 9

11 Business Intelligence and Technology Integration +

This track focuses on the integration of business intelligence tools with engineering technologies. Attendees will discuss strategies for leveraging data to enhance business outcomes in engineering projects.

SDG 8 SDG 9