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Hybrid Event

17th - 18th October 2026 | Macau, China

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

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Explore All Session Tracks
Track 01
Advancements in Predictive Analytics

This track focuses on the latest methodologies and applications of predictive analytics in various industries. Researchers are invited to present their findings on how predictive models can enhance decision-making processes.

Track 02
Intelligent Systems for Big Data

This session explores the integration of intelligent systems with big data technologies. Contributions that demonstrate innovative approaches to harnessing big data for intelligent decision-making are encouraged.

Track 03
Cloud Computing and Data Processing

This track examines the role of cloud computing in facilitating efficient data processing and storage solutions. Papers discussing the scalability and performance of cloud-based architectures are welcome.

Track 04
AI Algorithms for IT Operations

This session highlights the application of artificial intelligence algorithms in optimizing IT operations. Participants are invited to share insights on algorithmic innovations that improve operational efficiency.

Track 05
Analytics Frameworks for Business Intelligence

This track focuses on the development and implementation of analytics frameworks that support business intelligence initiatives. Contributions that showcase effective frameworks for data-driven decision-making are encouraged.

Track 06
Scalable Computing Solutions

This session addresses the challenges and solutions related to scalable computing in the context of big data. Researchers are invited to present their work on architectures and technologies that enable scalable data processing.

Track 07
System Optimization Techniques

This track delves into various techniques for optimizing IT infrastructure and systems. Papers that present novel optimization strategies and their impact on performance are highly encouraged.

Track 08
Automation in IT Operations

This session focuses on the role of automation in enhancing IT operations and service delivery. Contributions that explore automated processes and their benefits for operational efficiency are welcome.

Track 09
Performance Monitoring in Big Data Environments

This track examines methodologies for performance monitoring in big data environments. Researchers are invited to discuss tools and techniques that ensure optimal performance and reliability.

Track 10
Innovations in Machine Learning Applications

This session showcases innovative applications of machine learning across various domains. Participants are encouraged to present case studies that illustrate the transformative impact of machine learning.

Track 11
Integration of IT and Data Science

This track explores the convergence of IT operations and data science practices. Papers that highlight collaborative approaches and frameworks for integrating these fields are invited.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.