Flex Conference (Physical / Digital)

International Conference on Big Data-driven Machine Learning for IT Optimization (ICBDMLITO - 27)

Call for Paper

The ICBDMLITO provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Big Data, Machine Learning, Information Technology encouraging participation from emerging researchers and fostering academic growth.

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

  • Big data-driven optimization techniques
  • Machine learning for operational efficiency
  • Data analytics for IT optimization
  • Big data applications in performance tuning
  • Machine learning for resource allocation
  • Big data insights for decision making
  • Optimization strategies using big data
  • Machine learning for cost reduction
  • Big data in supply chain optimization
  • Real-time analytics for IT performance
  • Big data visualization for optimization
  • Machine learning for predictive analytics
  • Big data in customer experience enhancement
  • Optimization of IT infrastructure with ML
  • Big data applications in marketing strategies
  • Machine learning for process improvement
  • Big data-driven business model innovation
  • Data quality for optimization processes
  • Machine learning for competitive advantage
  • Future directions in big data optimization

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :14th March 2027

Paper Submission Deadline :19th March 2027

Last Date of Registration : 29th March 2027

Date of Conference : 13th - 14th April 2027