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Hybrid Event

25th - 26th August 2026 | Amsterdam, Netherlands

International Conference on Machine Learning-driven Big Data Solutions in IT (ICMLBDSIT - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLBDSIT) 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
Big data solutions for IT challenges
02
Machine learning in IT service management
03
AI-driven big data applications
04
Data analytics for IT optimization
05
Scalable solutions for big data
06
Machine learning for IT infrastructure
07
Big data in cloud computing
08
Data-driven IT decision making
09
Real-time solutions for IT problems
10
AI applications in IT support
11
Big data analytics for performance monitoring
12
Machine learning for incident management
13
Data integration for IT solutions
14
Big data in network management
15
AI for predictive maintenance
16
Challenges in implementing big data solutions
17
Big data analytics for user experience
18
Machine learning for IT security
19
Future of big data in IT
20
Innovative big data solutions for enterprises

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.