Hybrid Conferencee

International Conference on Big Data Analytics and Machine Learning Tools for IT (ICBDAMLTT - 26)

18th - 19th September 2026 | San Francisco, USA

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in San Francisco. 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 San Francisco 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 San Francisco conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in San Francisco, 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 San Francisco."
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 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Big Data Analytics

This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present their findings on innovative approaches that enhance data interpretation and decision-making processes.

Track 02

Machine Learning Algorithms for Predictive Analytics

This session will explore the development and application of machine learning algorithms specifically designed for predictive analytics. Contributions that demonstrate the effectiveness of these algorithms in various domains are encouraged.

Track 03

Intelligent Systems in Information Technology

This track examines the integration of intelligent systems within the IT landscape. Papers should discuss how these systems improve operational efficiency and decision-making in technology-driven environments.

Track 04

Cloud Computing and Big Data Integration

This session addresses the challenges and solutions associated with integrating big data analytics into cloud computing environments. Submissions should highlight innovative frameworks and architectures that facilitate this integration.

Track 05

Data Processing Techniques for Scalable Computing

This track focuses on novel data processing techniques that support scalable computing environments. Researchers are invited to share their insights on optimizing data workflows and enhancing performance.

Track 06

AI-Driven Automation in IT Systems

This session explores the role of artificial intelligence in automating IT systems and processes. Papers should provide evidence of how AI can streamline operations and improve system reliability.

Track 07

Frameworks for Business Intelligence Analytics

This track emphasizes the development of analytical frameworks that support business intelligence initiatives. Contributions should demonstrate how these frameworks can drive strategic decision-making in organizations.

Track 08

Optimization Techniques in Big Data Environments

This session will cover optimization techniques tailored for big data environments. Researchers are encouraged to present methodologies that enhance data processing efficiency and resource allocation.

Track 09

Data Integration Strategies for Intelligent Systems

This track focuses on strategies for effective data integration within intelligent systems. Papers should discuss methodologies that facilitate seamless data flow and enhance system intelligence.

Track 10

Innovations in Analytics Frameworks

This session invites papers that introduce innovative analytics frameworks designed to tackle complex data challenges. Contributions should demonstrate the practical applications and benefits of these frameworks.

Track 11

Emerging Trends in Machine Learning Tools

This track explores emerging trends in machine learning tools that are reshaping the IT landscape. Researchers are encouraged to discuss novel tools and their implications for data analysis and system performance.