International Conference on

Big Data Analytics and Machine Learning for IT Development (ICBDAMLITD-26)

18th – 19th Sep 2026 | Bangkok, Thailand | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data Analytics and Machine Learning for IT Development invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics for IT development
02
Machine learning tools for IT projects
03
Predictive analytics for project management
04
Real-time data processing in development
05
AI applications in software development
06
Challenges in implementing data-driven projects
07
User experience in IT development
08
Case studies of successful IT projects
09
Impact of big data on software engineering
10
Future trends in IT project management
11
Collaboration between IT and data teams
12
Data governance in development projects
13
Innovative frameworks for IT development
14
Scalable solutions for software projects
15
Ethical considerations in IT development
16
Data-driven insights for project success
17
Machine learning for quality assurance
18
Integration of big data in software solutions
19
Security implications of data in development
20
Real-world applications of analytics in IT
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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