Pre-Enrollment

1st September 2026

Final Paper Submission

6th September 2026

Registration Deadline

16th September`2026

Conference Date

1st Oct - 2nd Oct 2026

Call for Papers

The International Conference on AI-driven Data Analytics and Knowledge Discovery invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Artificial Intelligence,Data Science,Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Ai-driven Analytics For Knowledge Discovery
02
Data Mining Techniques In Ai Applications
03
Ai For Enhancing Data-driven Decision Making
04
Knowledge Representation In Ai Systems
05
Ai Applications In Business Intelligence
06
Data Quality Assessment In Ai Projects
07
Ai For Automated Data Analysis
08
Ethics Of Ai In Data Analytics
09
Ai In Scientific Research And Discovery
10
Ai Techniques For Data Visualization
11
Ai-powered Tools For Data Exploration
12
Challenges In Ai-driven Knowledge Management
13
Ai For Real-time Data Insights
14
Ai Applications In Social Sciences
15
Ai In Environmental Data Analysis
16
Ai For Improving Data Accessibility
17
Ai In The Context Of Open Data
18
Ai For Enhancing User Experience In Analytics
19
Future Of Ai In Data Discovery
20
Ai And Data Science In Public Policy
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review