Hybrid Conferencee

International Conference on Machine Learning for Big Data and IT Operations (ICMLBDITO - 26)

16th - 17th July 2026 | Bucharest, Romania
Sample Abstract
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Conference Brochure
Sample Full Paper
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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 Bucharest. 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 Bucharest 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 Bucharest conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Bucharest, 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 Bucharest."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLBDITO 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 Big Data,Machine Learning,Information Technology, 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
Machine learning for IT operations
02
Big data analytics for operational insights
03
AI applications in IT management
04
Predictive maintenance using big data
05
Real-time analytics for IT performance
06
Data-driven decision making in IT
07
Machine learning for resource optimization
08
Big data in service delivery
09
AI for incident management in IT
10
Challenges in IT operations analytics
11
Big data analytics for user experience
12
Machine learning for IT strategy
13
Data integration in IT operations
14
Big data solutions for operational challenges
15
AI-driven automation in IT processes
16
Future of big data in IT operations
17
Machine learning for capacity planning
18
Big data analytics for risk management
19
AI applications in IT support services
20
Innovative solutions for IT operations