Hybrid Conference (In Person / Virtual)

International Conference on AI and Machine Learning in Big Data Systems (ICAIMLBDS - 27)
25th - 26th February 2027 , Mexico City, Mexico
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Mexico City. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Mexico City conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Mexico City and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICAIMLBDS 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:

01
AI and machine learning in big data
02
Innovative algorithms for data processing
03
Real-time machine learning applications
04
Challenges in big data analytics
05
Future trends in AI technologies
06
Data-driven decision making in IT
07
Big data security and privacy issues
08
Case studies on AI in big data
09
Collaboration between industries and academia
10
Ethical considerations in AI applications
11
Machine learning for predictive analytics
12
Big data infrastructure and architecture
13
Impact of AI on business strategies
14
Regulatory challenges in AI usage
15
Natural language processing in big data
16
Research opportunities in AI and big data
17
Big data governance and management
18
Integration of AI and big data analytics
19
AI-driven solutions for big data challenges
20
Trends in AI and machine learning technologies

Assessment

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.

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