International Conference on Big Data Analytics and Machine Learning Tools for IT
(ICBDAMLTT - 26)

18th - 19th September 2026 Dubai, UAE (Hybrid Event)

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Call for Paper

The ICBDAMLTT 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:

  • Machine learning tools for data analysis
  • Big data frameworks and methodologies
  • Data mining techniques for insights
  • AI-driven analytics in IT
  • Machine learning for predictive maintenance
  • Visualization tools for big data
  • Data quality and integrity challenges
  • Real-world applications of ML tools
  • Scalability in big data solutions
  • Integration of machine learning in IT
  • Big data ethics and compliance
  • Performance evaluation of ML tools
  • Innovative algorithms for data processing
  • Collaborative approaches in data analytics
  • Industry-specific big data applications
  • Impact of big data on business models
  • Data governance in analytics projects
  • Machine learning for customer insights
  • Future of big data technologies
  • Security implications of big data
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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