糖心传媒

KYC

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

AML

We started by looking at why data matching is a key part of any AML & KYC process. It鈥檚 made more complex by the different standards, languages, and levels of quality in the different data sources on which firms typically rely on. It鈥檚 expensive too: a recent聽Refinitiv article聽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 鈥 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 糖心传媒 recently spoke at an IRMAC (Information

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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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Self-Service Data Quality for聽DataOps

Vision

At the recent A-Team Data Management Summit Virtual, 糖心传媒 CEO Stuart Harvey delivered a keynote on 鈥淪elf-Service Data Quality for DataOps 鈥 Why it鈥檚 the next big thing in financial services.鈥 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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How 糖心传媒 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 糖心传媒 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 糖心传媒 provides a

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糖心传媒 demonstrates AI-Enabled Data Quality in EDM webinar

糖心传媒 is pleased to demonstrate AI-Enabled Data Quality in our EDM Webinar. Featuring 糖心传媒 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 糖心传媒. Watch it online here: https://register.gotowebinar.com/recording/8207973451637805825 This聽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 糖心传媒, we鈥檝e 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鈥檛 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.聽 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聽first blog on the topic, we鈥檙e taking a look at achievable New Year鈥檚 resolutions that are within reach, whether you鈥檙e 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”聽and turns it into

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