International Conference on Big Data and Machine Learning for IT Cloud Innovations - (ICBDMLITCI-26)


22nd - 23rd December, 2026 | Mombasa, Kenya

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

22nd November, 2026

Paper Submission Deadline

27th November, 2026

Last Date Of Registration

7th December, 2026

Date Of Conference

22nd - 23rd December, 2026

Downloads

Call for Papers

The (ICBDMLITCI-26) 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:

  • Big data analytics in cloud environments
  • Machine learning algorithms for IT solutions
  • Cloud computing innovations and challenges
  • Data-driven decision making in IT
  • Scalable machine learning architectures
  • AI applications in cloud infrastructure
  • Data security in cloud-based systems
  • Real-time data processing techniques
  • Cloud-native machine learning frameworks
  • Predictive analytics for IT management
  • Integrating big data with cloud services
  • Cloud-based platforms for machine learning
  • Data visualization techniques in cloud computing
  • Ethical considerations in AI cloud applications
  • Performance optimization for cloud ML models
  • Automating IT processes with AI
  • Cloud storage solutions for big data
  • Interoperability in cloud-based AI systems
  • Impact of big data on IT strategies
  • Future trends in cloud machine learning

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.