Flex Conference (Physical / Digital)

International Conference on IT Innovations Enabled by Big Data and ML (ICITIBDML - 26)

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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.

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
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 13 SDG 13 — Climate Action
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
SDG 17 SDG 17 — Partnerships for the Goals
Track 01

Innovations in Big Data Analytics

This track focuses on the latest advancements in big data analytics, exploring novel methodologies and frameworks that enhance data interpretation. Participants will discuss the implications of these innovations on various industries and their potential to drive strategic decision-making.

Track 02

Machine Learning Algorithms for Predictive Analytics

This session will delve into cutting-edge machine learning algorithms designed for predictive analytics applications. Researchers will present their findings on algorithm performance, scalability, and real-world applications in diverse sectors.

Track 03

AI-Driven Intelligent Systems

This track examines the integration of artificial intelligence within intelligent systems to optimize performance and enhance user experience. Discussions will cover case studies and theoretical frameworks that highlight the transformative potential of AI in system design.

Track 04

Cloud Computing and Big Data Integration

Focusing on the synergy between cloud computing and big data, this session will explore architectures and solutions that facilitate efficient data processing and storage. Experts will share insights on overcoming challenges related to scalability and data governance.

Track 05

Data Engineering for Scalable Solutions

This track addresses the principles and practices of data engineering aimed at developing scalable data solutions. Participants will discuss best practices for data pipeline construction, management, and optimization in large-scale environments.

Track 06

Automation in IT Infrastructure

This session will explore the role of automation in enhancing IT infrastructure efficiency and reliability. Presentations will highlight innovative tools and strategies that streamline operations and reduce human intervention.

Track 07

Frameworks for Advanced Data Analytics

This track focuses on the development and implementation of advanced frameworks for data analytics. Researchers will present their work on frameworks that support complex data analysis and facilitate actionable insights.

Track 08

Big Data Governance and Compliance

This session will address the critical aspects of big data governance, including compliance, security, and ethical considerations. Experts will discuss frameworks and policies that ensure responsible data management in organizations.

Track 09

Optimizing Systems through Data-Driven Solutions

This track investigates the application of data-driven solutions to optimize system performance across various domains. Participants will share case studies demonstrating the impact of data analytics on operational efficiency.

Track 10

Business Intelligence Strategies in the Age of Big Data

This session will explore innovative business intelligence strategies that leverage big data for competitive advantage. Discussions will focus on the integration of analytics tools and techniques to inform strategic business decisions.

Track 11

Emerging Trends in IT Innovations

This track will highlight emerging trends in IT innovations enabled by big data and machine learning. Participants will discuss the future landscape of technology and its implications for various sectors.

Important Dates

Early Bird Registration :30th July 2026

Paper Submission Deadline :4th August 2026

Last Date of Registration : 14th August 2026

Date of Conference : 29th - 30th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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