An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
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.
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.
This track examines the evolving landscape of regulations governing data privacy and security. Participants will analyze compliance strategies and their impact on organizational practices.
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.
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.
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.
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.
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.
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.
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.
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.