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

15th - 16th December 2026 Abu Dhabi, UAE (Hybrid Event)

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Call for Paper

The ICBDMLITRM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Big Data,Machine Learning,Information Technology, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Risk management strategies using big data
  • Machine learning for cybersecurity
  • Predictive analytics for IT risk
  • Data-driven risk assessment models
  • Big data compliance and regulations
  • AI in risk mitigation strategies
  • Data visualization for risk management
  • Real-time risk monitoring systems
  • Big data in financial risk management
  • Machine learning for operational risk
  • Big data analytics for compliance
  • Risk prediction using machine learning
  • Data quality and risk management
  • AI-driven risk analysis tools
  • Big data in project risk management
  • Machine learning for disaster recovery
  • Statistical methods for risk assessment
  • Big data in insurance risk modeling
  • AI applications in risk forecasting
  • Challenges in IT risk management
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by

Advancing Research Stability

SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.

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