International Conference on

Data Governance and Big Data (ICDGBD-26)

19th – 20th Oct 2026 | Bristol, UK | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

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 10
SDG 10 Reduced Inequalities
SDG 12
SDG 12 Responsible Consumption and Production
SDG 16
SDG 16 Peace, Justice and Strong Institutions
SDG 17
SDG 17 Partnerships for the Goals
Track 01

Data Governance Frameworks in Big Data Environments

This track explores the development and implementation of robust data governance frameworks tailored for big data ecosystems. It emphasizes the importance of compliance, data quality, and risk management in ensuring effective data utilization.

Track 02

Innovative Strategies for Data Integration

This session focuses on cutting-edge methodologies and technologies for seamless data integration across diverse sources. Participants will discuss challenges and solutions related to data silos and interoperability in big data contexts.

Track 03

Predictive Analytics and Decision-Making

This track delves into the role of predictive analytics in enhancing decision-making processes within organizations. It highlights case studies and applications that demonstrate the impact of data-driven insights on strategic initiatives.

Track 04

Ensuring Data Quality in Big Data Projects

This session addresses the critical aspects of maintaining data quality in large-scale data initiatives. Discussions will cover methodologies for data cleansing, validation, and the implications of poor data quality on business outcomes.

Track 05

AI-Driven Governance: Opportunities and Challenges

This track examines the intersection of artificial intelligence and data governance, focusing on how AI can enhance governance practices. It will also address ethical considerations and the challenges of implementing AI-driven solutions.

Track 06

Data Privacy and Compliance in the Age of Big Data

This session focuses on the evolving landscape of data privacy regulations and their implications for big data management. Participants will explore strategies for ensuring compliance while maximizing data utility.

Track 07

Machine Learning Applications in Data Management

This track highlights the transformative role of machine learning in optimizing data management processes. It will showcase innovative applications that enhance data analytics and operational efficiency.

Track 08

Intelligent Systems for Enhanced Data Analytics

This session explores the integration of intelligent systems in data analytics to derive actionable insights. Discussions will focus on advancements in algorithms and their practical applications in various industries.

Track 09

Risk Management Strategies in Big Data Initiatives

This track addresses the identification and mitigation of risks associated with big data projects. Participants will share best practices and frameworks for effective risk management in data-driven environments.

Track 10

System Optimization Techniques for Big Data Solutions

This session focuses on methodologies for optimizing systems that handle big data workloads. It will cover performance tuning, resource allocation, and scalability challenges faced by organizations.

Track 11

Innovation in Data Governance Practices

This track examines emerging trends and innovative practices in data governance. Participants will discuss how organizations can adapt to the rapidly changing data landscape while fostering a culture of data stewardship.

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