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Recorded Webinar: Streamlining trading and investment processes with data standards and identifiers
Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into…
Recorded Webinar: AI in Asset Management: Buy-Side Attitudes toward GenAI and LLMs
Since ChatGPT exploded onto the scene in late 2022, financial markets participants have been trying to understand the opportunities and risks posed by artificial intelligence and in particular generative AI (GenAI) and large language models (LLMs). While the full value of the technology continues to become apparent, it’s already clear that AI has enormous potential…
Recorded Webinar: How to leverage Generative AI and Large Language Models for regulatory compliance
Generative AI (GenAI) and Large Language Models (LLMs) offer huge potential for change across capital markets, not least in regulatory compliance where they have the capability to help firms understand and interpret regulations, automate compliance, monitor transactions in real time, and flag anomalies in the same timeframe. They also present challenges including explainability, responsibility, model…
Recorded Webinar: Improving data integrity to address regulatory requirements
Financial institutions today face a global regulatory landscape characterised by rigorous and varied reporting requirements across their businesses. Reporting challenges include completing more data fields across more lines of business with greater frequency, adding complexity and cost. At the same time, there is waning tolerance among supervisory bodies for errors, issues or delays – as…
Recorded Webinar: Leveraging innovation in data management
Financial Institutions are going through considerable change as they look to deploy innovative technologies and solutions that could radically change data management processes and deliver operational and business benefits. This webinar will review innovation in data management – including technologies such as machine learning, pattern matching, artificial intelligence and solutions such as utilities and managed…
Recorded Webinar: Leveraging the cloud in market data and trading technology environments
The promise of greater flexibility, lower operating costs and a reduced local IT footprint is driving acceptance of the cloud as the delivery mechanism for key front-office capabilities, including market data and trading applications. Progress in security and hybrid solutions is making cloud delivery viable for trading firms of all types, particularly smaller players keen…
Recorded Webinar: Solving the data management challenges of FRTB
Despite the compliance deadline of the Fundamental Review of the Trading Book (FRTB) being pushed back to January 2022 by many national regulators, the time to address the data management challenges of the regulation is now. The webinar will discuss key elements of FRTB – including risk models, liquidity horizons and data sourcing for risk calculations,…
Recorded Webinar: The missing piece of the data governance puzzle
Effective data governance delivers data quality and controls across the enterprise, and ensures financial institutions can meet regulators’ demands for transparency and full audit trails. But current approaches to data governance that rely on software and policies are ineffective without the right metadata flowing through them. Listen to us on this webinar where we will…
Recorded Webinar: Implications of MiFID II for Data Management
MiFID II is shaping up to be one of the biggest regulations to impact the financial industry. While much of the regulation focuses on trading, there are many implications for data management. The webinar will explore issues effecting data management, including extended coverage of instruments and trading venues, new data fields, the mandate to use…
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…