Hybrid Conferencee

International Conference on AI-Driven Decision-Making with Data Analytics (ICAIDDDA - 26)

9th - 10th December 2026 | Abuja, Nigeria

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Conference Notifications:

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

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Abuja. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Abuja event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Abuja conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Abuja, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Abuja."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAIDDDA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Analytics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
AI-driven decision-making frameworks
02
Data analytics in business strategy
03
Predictive analytics for decision support
04
Machine learning in decision processes
05
Data visualization for decision making
06
Case studies in AI applications
07
Real-time analytics for decisions
08
Impact of big data on decisions
09
Ethics in AI decision-making
10
Collaborative decision-making models
11
Challenges in AI-driven analytics
12
Data governance for decision making
13
User experience in decision support tools
14
Future of AI in business decisions
15
Integration of AI and analytics
16
Decision-making under uncertainty
17
Performance metrics for AI decisions
18
AI applications in various industries
19
Data-driven culture in organizations
20
Best practices for AI implementation