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上海线下活动邀请 | PayFi合规洞察:技术革新与法律监管
Refinitiv路孚特· 2025-07-01 05:33
Core Insights - The article emphasizes the importance of World-Check One in streamlining and accelerating due diligence processes, enabling faster and smarter remediation measures [1][4]. Overview - World-Check has provided accurate and reliable information for 25 years, assisting financial institutions and regulated non-bank sectors in complying with KYC, anti-money laundering, counter-terrorism financing, anti-bribery, and anti-corruption regulations [3]. Reasons to Choose LSEG World-Check One - World-Check One serves as a critical screening platform that supports due diligence needs and helps combat financial crime, bribery, and corruption [4]. - The platform features next-generation automated screening software that facilitates targeted KYC verification and third-party screening [4]. - It simplifies AML and CFT compliance work, allowing detailed screening and monitoring of politically exposed persons (PEPs), high-risk individuals, and entities [4]. Features and Advantages - World-Check One minimizes false positive rates through multiple auxiliary identifiers and configurable name-matching algorithms [7]. - The platform offers advanced KYC screening capabilities, integrating extensive information and features into existing workflows and internal systems [8]. - It allows for zero-footprint screening, ensuring no permanent records are left during the screening process [12]. Data Utilization - World-Check data can be integrated into third-party or proprietary workflow solutions for customer due diligence, customer screening, and payment screening [10]. - The API enables the integration of data, matching capabilities, and advanced features into existing workflows, simplifying account review and third-party risk due diligence processes [11].
上海线下活动邀请 |PayFi合规洞察:技术革新与法律监管
Refinitiv路孚特· 2025-06-26 02:32
Core Insights - The article emphasizes the importance of World-Check One in streamlining and accelerating due diligence processes, enabling faster and smarter remediation measures [1][4]. Group 1: Overview of World-Check One - World-Check has provided accurate and reliable information for 25 years, assisting financial institutions and regulated non-bank sectors in complying with KYC, anti-money laundering, counter-terrorism financing, anti-bribery, and anti-corruption regulations [3]. - The platform integrates global intelligence, human expertise, and cutting-edge technology to help organizations identify hidden financial system risks [3]. Group 2: Features and Advantages - World-Check One serves as a critical screening platform that supports due diligence needs and helps combat financial crime, bribery, and corruption [4]. - The platform offers a new generation of automated screening software that facilitates targeted KYC verification and third-party screening [4]. - It simplifies the regulatory compliance work related to anti-money laundering (AML) and counter-terrorism financing (CFT) by providing detailed screening and monitoring of politically exposed persons (PEPs), high-risk individuals, and entities [4]. Group 3: Advanced Screening Capabilities - The platform allows for the integration of extensive information and advanced features into existing workflows and internal systems through APIs, making it easier to identify hidden sanction keywords and support self-configured automatic disposal strategies [8]. - World-Check's multiple auxiliary identifiers and configurable name-matching algorithms help minimize false positive rates during screening [6]. Group 4: Data Utilization - Organizations can integrate World-Check datasets into third-party or proprietary workflow solutions for customer due diligence, customer screening, and payment screening [10]. - The platform supports zero-footprint screening, allowing for the disabling of system tracking, continuous screening, bulk uploads, and audit trails to ensure no permanent records are left [12].
全球金融系统为何需要可靠的高质量数据?
Refinitiv路孚特· 2025-03-10 06:00
Core Viewpoint - The article emphasizes the critical importance of high-quality, trustworthy data in the financial industry, especially as AI technologies reshape the landscape and increase demand for data [1][2][4]. Group 1: Data Integrity and Management - The financial industry is witnessing a surge in demand for reliable data, with an annual growth rate of approximately 40% since 2019 [1]. - Ensuring data integrity and relevance is essential for large language models (LLMs), as poor data can lead to unreliable AI outcomes, including hallucinations and biases [2][4]. - The implementation of data transparency, security, and integrity is crucial for compliance and building customer trust, exemplified by the use of "watermark" technology in financial data [5][6]. Group 2: Digital Rights Management - Digital rights management is increasingly important, with clients expecting clear definitions of data source availability, AI policy responsibilities, and effective measures against intellectual property infringement [4][6]. - The establishment of a robust framework for digital rights management is necessary to ensure compliance and responsible AI usage [9]. Group 3: Regulatory Framework and Collaboration - The article highlights the need for standardized definitions of "data trust" across the industry to enhance data quality and facilitate its circulation [6][10]. - Collaboration across the industry and the establishment of interoperable regulatory frameworks are key to fostering high-trust AI systems and promoting innovation in the global financial sector [2][10]. - Regulatory initiatives, such as the EU's AI Act and the NIST's AI Risk Management Framework, provide guidance for safe and fair AI practices in the financial services sector [7][11]. Group 4: Future Outlook - The importance of high-quality data will continue to grow as the industry develops AI tools, necessitating a deep understanding from policymakers [8][11]. - The article calls for a collective effort from financial and tech companies, regulators, and users to navigate the challenges posed by evolving AI technologies [11].