Pre-Enrollment

12th January 2027

Final Paper Submission

17th January 2027

Registration Deadline

27th January`2027

Conference Date

11th Feb - 12th Feb 2027

Call for Papers

The International Conference on Real-Time Data Processing and Analytics 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 Data Analytics, 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
Real-time Data Processing Techniques
02
Streaming Analytics For Immediate Insights
03
Big Data Frameworks For Real-time Analytics
04
Data Integration For Real-time Applications
05
Latency Reduction In Data Processing
06
Real-time Analytics In Healthcare Systems
07
Iot Data Processing And Analytics
08
Event-driven Architectures For Data Analytics
09
Real-time Decision Making In Business
10
Scalability Challenges In Real-time Analytics
11
Data Quality In Real-time Environments
12
Use Cases For Real-time Data Applications
13
Machine Learning In Real-time Processing
14
Data Visualization For Real-time Analytics
15
Real-time Fraud Detection Systems
16
Impact Of 5g On Real-time Data
17
Edge Computing For Real-time Analytics
18
Data Governance In Real-time Systems
19
Future Directions In Real-time Analytics
20
Ethics Of Real-time Data Usage
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