KYC

AML

All things AML and FinTech Finance: Virtual Arena – weekly round-up

We started by looking at why data matching is a key part of any AML & KYC process. It’s made more complex by the different standards, languages, and levels of quality in the different data sources on which firms typically rely on. It’s expensive too: a recent Refinitiv article states that some firms are spending up to …

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ai_and_ml_graphic

IRMAC Reflections with Dr. Fiona Browne

There is a lot of anticipation surrounding Artificial Intelligence (Al) and Machine Learning (ML) in the media. Alongside the anticipation is speculation – including many articles placing fear into people by inferring that AI and ML will replace our jobs and automate our entire lives! Dr Fiona Browne, Head of AI at Datactics recently spoke at an IRMAC (Information …

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balance, inspiration, motivation

Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne

In late 2019 our Head of AI, Dr Fiona Browne, delivered a series of talks to the Enterprise Data Management Council on AI-Enabled Data Quality in the context of AML operations, specifically for resolving differences in dataset labelling for legal entity data. In this blog post, Fiona goes under the hood to explain some of …

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How Datactics helps Santa with his Data Quality issues

Yes of course Santa has data quality issues! Everyone has data quality issues. In this article, we outline how Datactics software can help Santa improve the efficiency of his pre-Christmas operations and have a stress free Christmas Eve delivery and a relaxing Christmas Day. Data Quality Firewall, REST API, Data Quality Remediation Datactics provides a …

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Datactics demonstrates AI-Enabled Data Quality in EDM webinar

Datactics is pleased to demonstrate AI-Enabled Data Quality in our EDM Webinar. Featuring Datactics CTO, Alex Brown; Dr. Fiona Browne, Head of AI; and CEO, Stuart Harvey covering a practical use case for AI in entity resolution. Co-hosted by EDM Council and Datactics. Watch it online here: https://register.gotowebinar.com/recording/8207973451637805825 This webinar provides an overview of AI and …

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Transliteration matching in Japanese, Chinese, Russian, Arabic and all non-Latin data sets

Here at Datactics, we’ve recently done a number of Transliteration matching tasks helping people with Japanese, Russian Cyrillic and Arabic data sets. Transliteration matching can seem challenging, especially when presented with text that you don’t understand, but with the right techniques a lot can be achieved – the key is to really understand the problem …

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Who are you really doing business with?

Entity Match Engine for Customer Onboarding. Challenges and facts from EU banking implementations.  Customer onboarding is one of the most critical entry points of new data for a bank’s counterparty information. References and interactions with internal systems, externally sourced information, KYC processes, regulatory reporting and risk aggregation are all impacted by the quality of information …

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