Hybrid Conferencee

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

25th - 26th July 2026 | Milan, Italy

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. 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 Milan 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 Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, 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 Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference 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.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
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.