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Recorded Webinar: Mastering Data Lineage for Risk, Compliance, and AI Governance
Financial institutions are under increasing pressure to ensure data transparency, regulatory compliance, and AI governance. Yet many struggle with fragmented data landscapes, poor lineage tracking and compliance gaps. This webinar will explore how enterprise-grade data lineage can help capital markets participants ensure regulatory compliance with obligations such as BCBS 239, CCAR, IFRS 9, SEC requirements…

Recorded Webinar: ESG: A Growth Opportunity and a Regulatory Challenge
ESG investing, regulation and compliance are central concerns for financial institutions, although not all jurisdictions are equal. In the US, ESG has become a partisan issue making SEC regulation uncertain; the EU is on good form and has already implemented multiple regulations; and Asia Pacific is advancing as regulators and exchanges deploy ESG rules. Greenwashing…

Recorded Webinar: How to leverage the LIBOR transition to improve your data management game
The transition away from LIBOR (London Interbank Offered Rate) is well underway, but there remains considerable ambiguity around how the final stages will be executed – especially with regards to benchmark replacements in markets outside the UK. What are the options, where are the uncertainties and what stage have firms reached in their preparations? The…

Recorded Webinar: Privacy vs. Surveillance: Managing conflicting regulations in Germany and other privacy-sensitive jurisdictions
The EU’s MiFID II and other regulations globally have placed greater emphasis than ever on market surveillance, recording of trading communications and records-retention processes in an attempt to stamp out market abuse and boost investor confidence and protections. At the same time, the public’s attitude toward data privacy has hardened, most visibly through new regulations…
Recorded Webinar: Artificial Intelligence in the EDM Era
The scope and scale of structured and unstructured data that financial firms must manage continues to grow exponentially, calling for innovative approaches that can deliver automated, accurate and timely decision making. Artificial intelligence (AI) and cognitive computing are prime contenders to ease the enterprise data management burden, but what types of solutions are available, how…
Recorded Webinar: How to get entity, hierarchy and relationship data right
The demand for entity, hierarchy and relationship data continues to rise, not only in response to regulatory requirements, but also as a result of greater business understanding of the value of the data to identify counterparties, risk and potential opportunity. The webinar will discuss the requirement for entity, hierarchy and relationship data, how to source…
Recorded Webinar: MiFID II: Is the market truly ready? Will compliance be achieved?
This market facing webinar aims to share insight and best practices so you can be more successful in Markets in Financial Instruments Directive II (MiFID II) compliance. To support this, the webinar will provide access to the latest results of a global MiFID II survey including over one thousand market and reference data practitioners and…
Recorded Webinar: MiFID II and FRTB Data Analytics, Benchmarks and Risk Modelling
Markets in Financial Instruments Directive II (MiFID II) and the Fundamental Review of the Trading Book (FRTB) require huge volumes of data to be sourced and managed. This webinar will discuss what sort of data analytics you need to implement to be able to process and analyse MiFID II data, and what risk model data,…
Recorded Webinar: How to Track Data Lineage for Enterprise Data Management
Data lineage, the ability to track the source and lifecycle of your reference data, is becoming increasingly important as regulations call for greater transparency and risk managers require confidence in the data feeding their models. What regulations are driving the need for data lineage, what do you need to be able to demonstrate, and what…
Recorded Webinar: Solvency II – The Final Data Management Challenges
With the Jan 2016 deadline fast approaching, what should you be doing in the last quarter of this year to make sure your data management operations are ready?