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Hybrid Event

29th - 30th June 2026 | Malaga, Spain

International Conference on Machine Learning for Big Data and IT Operations (ICMLBDITO - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLBDITO) 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 operations
02
Big data analytics for operational insights
03
AI applications in IT management
04
Predictive maintenance using big data
05
Real-time analytics for IT performance
06
Data-driven decision making in IT
07
Machine learning for resource optimization
08
Big data in service delivery
09
AI for incident management in IT
10
Challenges in IT operations analytics
11
Big data analytics for user experience
12
Machine learning for IT strategy
13
Data integration in IT operations
14
Big data solutions for operational challenges
15
AI-driven automation in IT processes
16
Future of big data in IT operations
17
Machine learning for capacity planning
18
Big data analytics for risk management
19
AI applications in IT support services
20
Innovative solutions for IT operations

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.