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Duco Unveils AI-Powered Reconciliation Product for Unstructured Data
Duco, a data management automation specialist and recent A-Team Group RegTech Insight Awards winner, has launched an artificial intelligence-powered end-to-end reconciliation capability for unstructured data. The Adaptive Intelligent Document Processing product will enable financial institutions to automate the extraction of unstructured data for ingestion into their systems. The London-based company said this will let market…
Managing Cognitive Dissonance in Regulatory Compliance with Corlytics
This past 18 months has been a time of significant growth for RegTech consolidator Corlytics. RegTech Insight recently spoke with founder and CEO John Byrne to delve into the Corlytics backstory and learn more about the company’s development. Corlytics is Byrne’s fourth company. He describes how, after the 2018 financial crisis, experiences at his prior…
Investment Firms Embrace Generative AI: A Boon for Monitoring and Compliance
By Osvaldo Berrios, SME, Compliance, NICE Actimize. The financial services industry is undergoing a transformative shift, with artificial intelligence (AI) playing a central role. Investment firms are starting to explore the potential of Generative AI (GenAI) to enhance their business dealings, particularly in the areas of monitoring, surveillance and regulatory compliance. Monitoring and Surveillance One…
Navigating the MiFIR Refit in 2024
The MiFIR Refit came into force in May to overhaul the European financial landscape with its focus on transparency and data integrity. Its ban on Payment for Order Flow aims to remove any vestiges of conflict of interest, while the consolidated tape is set to provide a comprehensive view of market data in a standardized…
n-Tier – Bringing Order to Regulatory Data Chaos
Navigating the complex world of regulatory data management is no easy task. But the challenges posed by the need to meet the concurrent demands of many new regulations and updates to existing ones should come as no surprise. Certainly, the regulators’ stance is clear: Firms are expected to comply; no excuses. According to Peter Gargone,…
Regulatory Reporting: Best Practices in 2024 and Beyond
Regulatory reporting can often feel like an endless and expensive grind. Achieving reporting excellence demands robust data governance, seamless automated data collection, standardized reporting formats, a centralized system, and a proactive approach to regulatory changes. While these requirements are well-understood, they are hard to implement. But emerging AI-powered solutions are beginning to show efficiency gains…
Bloomberg Adds Data for Compliance with EU Corporate Sustainability Reporting Directive
Bloomberg has added a data offering to the Bloomberg Terminal that collates data that companies have started to report in line with the EU’s Corporate Sustainability Reporting Directive (CSRD). The offering is also available via Data License for scalable enterprise-wide use. CSRD expands the range of firms that need to disclose ESG data publicly and…
Recorded Webinar: Best practices for compliance with EU Market Abuse Regulation
EU Market Abuse Regulation (MAR) came into force in July 2016, rescinding the previous Market Abuse Directive and replacing it with a significantly extended scope of regulatory obligations. Eight years later, and amid constant change in capital markets regulation, technology and culture, financial institutions continue to struggle to stay on the right side of the…
RegGenome Launches GenAI-Optimised Reg-Data Repository
RegGenome, a spin-out from the University of Cambridge, has launched an enriched regulatory data repository powered by Generative Artificial Intelligence (GenAI). This solution aims to address the increasing regulatory costs and complexities faced by firms by leveraging advanced AI technologies for regulatory operations and compliance management. A study by Accenture indicates that while 93% of…
Generative AI Poised for Leading Role as Regulatory Data Burden Grows
Amidst the hype around Generative AI (GenAI) and Large Language Models (LLMs), practitioners are beginning to realise that these emerging technologies can make a positive impact on the collection and validation of regulatory data. The categories and scope of regulatory data requirements have expanded considerably in response to rapid market developments and growing regulatory scrutiny….