Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
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.
Why it matters
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Big Data Governance Frameworks
This track explores the frameworks and methodologies for effective big data governance in organizations. It emphasizes the importance of establishing clear protocols for data management, compliance, and ethical considerations.
Track 02
Ethical Implications of Data Analytics
This session addresses the ethical challenges posed by data analytics in business contexts. Discussions will focus on responsible data usage, transparency, and the implications of algorithmic decision-making.
Track 03
Regulatory Compliance in Data Management
This track examines the evolving landscape of regulations governing data privacy and security. Participants will analyze compliance strategies and their impact on organizational practices.
Track 04
Risk Management in Data-Driven Decision Making
This session focuses on identifying and mitigating risks associated with data analytics in business. It will cover frameworks for assessing data-related risks and implementing effective risk management strategies.
Track 05
Data Privacy and Security Strategies
This track delves into best practices for ensuring data privacy and security in the age of big data. Participants will explore innovative approaches to safeguarding sensitive information while maintaining accessibility.
Track 06
Machine Learning and Predictive Analytics
This session highlights the role of machine learning and predictive modeling in enhancing business decision-making. Discussions will include case studies demonstrating successful applications and ethical considerations.
Track 07
Business Intelligence and Data Integration
This track focuses on the integration of diverse data sources to enhance business intelligence capabilities. Participants will explore techniques for effective data integration and its implications for decision support.
Track 08
AI Governance and Accountability
This session addresses the governance of artificial intelligence systems in business applications. It will discuss frameworks for ensuring accountability and ethical use of AI technologies.
Track 09
Responsible Analytics in Business
This track emphasizes the importance of responsible analytics practices in business environments. Participants will discuss strategies for ensuring ethical data usage and fostering a culture of accountability.
Track 10
Data Quality and Stewardship
This session explores the critical role of data quality and stewardship in effective data governance. Discussions will focus on methodologies for maintaining high data standards and the impact on business outcomes.
Track 11
Cloud Analytics and Ethical Considerations
This track examines the ethical challenges and governance issues associated with cloud-based analytics solutions. Participants will analyze the implications of cloud technologies on data privacy and security.