Hybrid Conferencee

International Conference on Big Data and ML-driven IT Innovation Strategies (ICBDMLITIS - 26)

18th - 19th September 2026 | Bali, Indonesia

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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 Bali. 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 Bali 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 Bali conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Bali, 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 Bali."
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

Innovative Applications of Big Data in Engineering

This track explores the transformative applications of big data within engineering disciplines. It focuses on case studies and methodologies that leverage big data for enhanced decision-making and operational efficiency.

Track 02

Machine Learning Techniques for Predictive Analytics

This session delves into advanced machine learning algorithms and their applications in predictive analytics. Participants will discuss the effectiveness of various models in forecasting trends and optimizing processes.

Track 03

Cloud Computing Solutions for Scalable IT Infrastructure

This track examines the role of cloud computing in developing scalable IT infrastructures. It highlights innovative strategies for leveraging cloud technologies to enhance data storage, processing, and accessibility.

Track 04

Intelligent Systems and Automation in Engineering

This session focuses on the integration of intelligent systems and automation in engineering practices. It aims to showcase advancements that improve efficiency, accuracy, and safety in engineering operations.

Track 05

Data Analytics Frameworks for Business Intelligence

This track investigates various data analytics frameworks that support business intelligence initiatives. Participants will explore how these frameworks can be utilized to derive actionable insights from large datasets.

Track 06

AI Algorithms for Enhanced Decision-Making

This session highlights the application of artificial intelligence algorithms in decision-making processes. It emphasizes the importance of AI in improving the quality and speed of engineering decisions.

Track 07

System Optimization Techniques in IT Infrastructure

This track focuses on innovative techniques for optimizing IT infrastructure systems. Discussions will center on methodologies that enhance performance, reduce costs, and improve reliability.

Track 08

Big Data Analytics in Smart Manufacturing

This session explores the application of big data analytics in the context of smart manufacturing. It aims to highlight how data-driven insights can lead to improved production processes and product quality.

Track 09

Challenges and Solutions in Machine Learning Deployment

This track addresses the challenges faced during the deployment of machine learning models in real-world applications. Participants will discuss best practices and innovative solutions to overcome these obstacles.

Track 10

Data-Driven Strategies for IT Innovation

This session examines how data-driven strategies can foster innovation in IT. It focuses on the intersection of data analytics and IT development to drive forward-thinking solutions.

Track 11

Future Trends in Big Data and Machine Learning

This track looks ahead to future trends in big data and machine learning technologies. Participants will explore emerging technologies and their potential impact on engineering and IT innovation.