International Conference on

Big Data Analytics powered by Artificial Intelligence (ICBDAAI-27)

23rd – 24th Mar 2027 | Lyon, France | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data Analytics powered by Artificial Intelligence invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Artificial Intelligence encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Big data processing techniques and tools
02
AI algorithms for data analytics
03
Predictive analytics in big data
04
Data visualization methods using AI
05
Machine learning applications in analytics
06
Data mining techniques for insights
07
Real-time analytics with AI solutions
08
Ethical considerations in data analytics
09
Big data challenges and solutions
10
AI-driven decision-making processes
11
Scalable architectures for big data
12
Natural language processing in analytics
13
Data governance and compliance issues
14
AI in social media analytics
15
Cloud-based big data solutions
16
Data quality and integrity in analytics
17
AI for anomaly detection in data
18
Collaborative data analytics platforms
19
Impact of AI on business intelligence
20
Future trends in big data analytics
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

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