Hybrid Conferencee

International Conference on AI and Data Science Innovation (ICAIDSI - 26)

8th - 9th September 2026 | Columbus, USA

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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 Columbus. 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 Columbus 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 Columbus conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Columbus, 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 Columbus."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAIDSI 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 Artificial Intelligence,Data Science,Machine Learning, 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
Innovative AI techniques in data science
02
Data-driven decision making in AI
03
Ethical considerations in AI applications
04
AI for predictive analytics and forecasting
05
Machine learning algorithms for data analysis
06
Big data challenges in AI development
07
AI applications in various industries
08
Data visualization techniques for AI insights
09
Natural language processing in data science
10
AI and data science in smart cities
11
Impact of AI on data privacy
12
AI-driven automation in data processing
13
Real-time data analysis using AI
14
AI tools for data cleaning and preparation
15
Collaborative AI systems for data science
16
AI in enhancing data quality and integrity
17
Trends in AI and data science research
18
AI for social good and community impact
19
Interdisciplinary approaches to AI and data
20
Future directions in AI and data science