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Hybrid Event

29th - 30th June 2026 | Paris, France

International Conference on IT Innovations Enabled by Big Data and ML (ICITIBDML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICITIBDML) 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
Innovations in big data and machine learning
02
Machine learning for IT process automation
03
Big data analytics for operational efficiency
04
Data-driven innovations in IT management
05
Machine learning for predictive maintenance
06
Big data applications in healthcare IT
07
Integration of big data and AI technologies
08
Real-time decision making with ML
09
Big data and machine learning ethics
10
Scalable architectures for ML applications
11
Big data impact on IT service delivery
12
Machine learning for customer insights
13
Big data-driven business intelligence solutions
14
Data quality management in ML systems
15
Machine learning for risk assessment
16
Big data visualization for IT innovations
17
Collaborative filtering in big data contexts
18
Machine learning for fraud detection
19
Big data strategies for IT transformation
20
Future trends in big data and ML

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.