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Hybrid Event

29th - 30th June 2026 | Jakarta Raya, Indonesia

International Conference on Machine Learning Models for Big Data-driven IT Innovation (ICMLMBDITI - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLMBDITI) 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 models for innovation
02
Big data-driven product development
03
AI techniques for IT innovation
04
Data analysis for strategic decision making
05
Challenges in ML model deployment
06
Real-time analytics for business growth
07
Integration of big data in IT solutions
08
Predictive modeling for IT innovation
09
Case studies of successful innovations
10
Impact of AI on IT processes
11
Data governance in innovation projects
12
User-centered design in data solutions
13
Scalable ML models for enterprises
14
Future trends in IT innovation
15
Ethical considerations in AI applications
16
Collaboration between data scientists and developers
17
Data-driven insights for competitive advantage
18
Innovative algorithms for business solutions
19
Machine learning for operational excellence
20
Big data and customer experience enhancement

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.