International Conference on

Big Data and Machine Learning for IT Risk Management (ICBDMLITRM-26)

18th – 19th Sep 2026 | Vienna, Austria | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data and Machine Learning for IT Risk Management invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Risk management strategies using big data
02
Machine learning for cybersecurity
03
Predictive analytics for IT risk
04
Data-driven risk assessment models
05
Big data compliance and regulations
06
AI in risk mitigation strategies
07
Data visualization for risk management
08
Real-time risk monitoring systems
09
Big data in financial risk management
10
Machine learning for operational risk
11
Big data analytics for compliance
12
Risk prediction using machine learning
13
Data quality and risk management
14
AI-driven risk analysis tools
15
Big data in project risk management
16
Machine learning for disaster recovery
17
Statistical methods for risk assessment
18
Big data in insurance risk modeling
19
AI applications in risk forecasting
20
Challenges in IT risk management
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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