AML

Two new apprentices have joined our team and we are gearing up for FinTech Festival! – Datactics weekly round-up

FinTech Festival, New apprentices, events, fintech finance, belfast international homecoming, dms virtual, data restart, data quality, aml, fines, regulation, complexity, banking, technological, artificial intelligence, data will empower the next phase of our economy

Welcoming our two new apprentices We kicked off the week by announcing the exciting news that two new apprentices from the Belfast Met have joined our DevOps team. The firm has now grown by 25% since March 2020 and approaching 130% over the past two years, in response to rapidly growing customer demand.  The new recruits, Natalia Walsh and Victoria Wallace, will balance their four days […]

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

AML

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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IRMAC Reflections with Dr. Fiona Browne

ai_and_ml_graphic

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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IRMAC Detective Data Work: AML and Emergent AI practices | 12/07/20

IRMAC

Earlier this month, our Head of AI, Dr. Fiona Browne took part in the IRMAC webinar ‘Detective Data Work’ and explored the AML and emergent AI practices. Missed it? Watch the recording below: In this webinar,  the expert panellists questioned what anti-money laundering (AML) efforts look like, and the complexities in sifting through vast data

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Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne

balance, inspiration, motivation

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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Self-Service Data Quality for DataOps

Vision

At the recent A-Team Data Management Summit Virtual, Datactics CEO Stuart Harvey delivered a keynote on “Self-Service Data Quality for DataOps – Why it’s the next big thing in financial services.” The keynote (available here) can be read below, with slides from the keynote included for reference. Should you wish to discuss the subject with

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5AMLD & Data Quality: new regulation, same problems?

With the EU’s fifth Anti-Money Laundering directive (5AMLD) having gone live on the 10th January, Matt Flenley took some time with Alex Brown, CTO at Datactics, to find out what implications there are when it comes to data quality. Firstly, what do you think are the biggest impacts for firms? Naturally we’re going to focus

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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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Ok, data: it’s couch to 5K time

Couch

As promised in the first blog on the topic, we’re taking a look at achievable New Year’s resolutions that are within reach, whether you’re a Chief Data Officer overseeing broad strategy or a subject matter expert using data day-to-day, regulations (GDPR Compliance anyone?) are looming. This part takes “I need to exercise more” and turns it into

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