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 latest advancements in technologies aimed at detecting insurance fraud. Emphasis will be placed on the integration of artificial intelligence and machine learning in enhancing fraud detection capabilities.
This session focuses on the role of predictive analytics in assessing and managing insurance risks. Participants will discuss methodologies for leveraging data to forecast fraudulent claims and mitigate potential losses.
This track examines the application of forensic accounting techniques in the investigation of insurance fraud. The discussions will highlight case studies and best practices in identifying fraudulent activities through financial analysis.
This session addresses the challenges and strategies associated with ensuring compliance in anti-fraud initiatives within the insurance sector. Experts will share insights on navigating regulatory frameworks while implementing effective fraud prevention systems.
This track delves into the various strategies employed to detect and prevent claims fraud in the insurance industry. Participants will explore case studies that illustrate successful interventions and innovative practices.
This session focuses on the governance structures necessary for effective risk control in insurance organizations. Discussions will include the role of leadership in fostering a culture of integrity and transparency.
This track investigates the use of artificial intelligence in assessing fraud risk within the insurance landscape. Participants will evaluate the effectiveness of AI-driven solutions in enhancing risk assessment processes.
This session highlights emerging trends and methodologies in the prevention of insurance fraud. Experts will discuss the impact of technological advancements and evolving consumer behaviors on fraud prevention strategies.
This track explores the collaborative efforts between insurance companies and law enforcement agencies in combating insurance fraud. Discussions will focus on the importance of information sharing and joint investigations.
This session addresses the ethical implications of fraud detection practices in the insurance industry. Participants will engage in discussions on balancing effective fraud prevention with consumer rights and privacy concerns.
This track presents a series of case studies showcasing successful initiatives in insurance fraud detection. Participants will analyze the methodologies employed and the outcomes achieved in various contexts.