Big Data

Systematic Internalisers – Data holds key to challenges and opportunities in MiFID II era

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MiFID II broadens the scope of the systematic internaliser (SI) regime, not only to cover more asset classes, but also to apply more stringent rules, with the aim of improving pre-trade transparency and improving price efficiency and client executions. To examine the far-reaching consequences and practical implications for liquidity seekers and providers, against a backdrop of tougher Best Execution […]
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Technology and Business Strategy Innovation in Finance with AI and Deep Learning

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The Realization Group discuss the possible use cases of deep learning within financials services. Deep learning is increasingly being explored across multiple industries and geographies.
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Raising the Bar: Responding to the RegTech data management challenge

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In this article The Realization Group discusses the key challenges and considerations for banks and brokers as they upgrade their data management strategies.
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Video: Going with the flow: Are financial firms ready for the data capture challenge?

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As firms prepare for new regulation, capturing and storing transaction data will no longer be enough. Regulators will also want to see granular data on quotes, accurately timestamped. This will present substantial technological hurdles. What kind of cost-effective solutions cans firms put in place, and what are the benefits to be gained by taking a […]
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Going with the flow: Are financial firms ready for the data capture challenge?

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In this article, Mike O’Hara and Adam Cox of The Realization Group look at the challenges facing the financial industry as firms prepare for new regulation requiring them to capture, store and provide far more trade-related data than ever before. No longer will transaction data be enough. Regulators want granular data on quotes and timestamps, […]
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