International Conference on Business Applications of Machine Learning - (ICBAML-26)


22nd - 23rd December, 2026 | Oakville, Canada

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 (ICBAML-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 Data Analytics,Business,Management,Artificial Intelligence, 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:

  • Machine learning applications in business
  • Predictive analytics for market trends
  • AI-driven customer relationship management
  • Data mining techniques for business insights
  • Machine learning for financial forecasting
  • Ethical considerations in AI applications
  • Improving operational efficiency with ML
  • Natural language processing in business
  • Machine learning in supply chain optimization
  • AI for personalized marketing strategies
  • Challenges in implementing machine learning
  • Case studies of successful ML applications
  • Future of machine learning in business
  • Integrating ML with existing systems
  • Data privacy issues in machine learning
  • Machine learning for human resource management
  • Real-time analytics using machine learning
  • Collaborative filtering in e-commerce
  • AI and decision-making in business
  • Impact of machine learning on entrepreneurship

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.