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Hybrid Event

29th - 30th June 2026 | Athens, Greece

International Conference on Machine Learning for Big Data-enabled IT Solutions (ICMLBDITS - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLBDITS) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Machine learning for IT solutions
02
Big data analytics in solution development
03
Predictive modeling for IT applications
04
Real-time data processing for solutions
05
AI applications in IT problem-solving
06
Challenges in developing data-driven solutions
07
User-centered design in IT solutions
08
Case studies of successful implementations
09
Impact of big data on IT services
10
Future trends in IT solution development
11
Collaboration between IT and data teams
12
Data governance in solution projects
13
Innovative frameworks for IT solutions
14
Scalable architectures for big data solutions
15
Ethical considerations in IT applications
16
Data-driven insights for IT effectiveness
17
Machine learning for user experience enhancement
18
Integration of big data in IT services
19
Security implications of data solutions
20
Real-world applications of ML in IT

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.