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Hybrid Event

1st - 2nd July 2026 | Salzburg, Austria

International Conference on Big Data-driven IT Solutions and Machine Learning (ICBDITSML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDITSML) 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 analytics in IT solutions
02
Machine learning applications in IT innovations
03
Data-driven decision making in IT
04
Challenges in big data integration
05
Future trends in big data technologies
06
AI-driven solutions for IT challenges
07
Big data security and privacy concerns
08
Innovative algorithms for big data analysis
09
Real-time analytics in IT systems
10
Cloud computing and big data synergy
11
Big data visualization techniques and tools
12
Machine learning for predictive analytics
13
Case studies on big data in IT
14
Collaboration between industries and academia
15
Regulatory challenges in big data usage
16
Ethical considerations in big data applications
17
Big data infrastructure and architecture
18
Impact of big data on business strategies
19
Data governance in big data environments
20
Research opportunities in big data analytics

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.