Alex Brown

Alex Brown is the Chief Technology Officer at Datactics. Prior to this role, he was the former Head of Dart Development at Vela (previously known as SR Labs) and additionally as a Market Data Technical Consultant at NYSE Euronext. On top of this, Alex has a combined total of 15 years’ experience within the software development and technical innovation sectors. Alex began his career after completing a BSc (Hons) degree in Physics at Queens University Belfast, on top of this he additionally completed a MPhil in Astrophysics from Queens University Belfast. Alex is a keen explorer of the application of data quality, the manipulation and bias that exists in AI and the change that is coming as a result of technology and ML/AI.

What Connects James Cameron, Data Catalogs and Data Science 101? CTO Insights with Alex Brown

Matt Flenley recently took some time with Alex Brown, CTO at Datactics, to find out what he’s looking forward to in the year ahead.  You mentioned the other day in our team meeting the market trends towards Master Data Management. Is there anything that you had noted here that you wanted to expand on when …

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The Changing Landscape of Data Quality

changing landscape of data quality, the drivers and benefits of a holistic self service data quality platform

The drivers and benefits of a holistic, self-service data quality platform | Part 1 Change There has been increasing demand for higher and higher data quality in recent years – highly regulated sectors, such as banking have had a tsunami of financial regulations such as BCBS239, MiFID, FATCA, and many more stipulating or implying exacting …

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The Three Pillars of AI

the three pillars of production AI

Recent incidents involving AI algorithms have hit the headlines, leading many to question their worth. In this article, CTO Alex Brown outlines the three pillars of AI and looks at how they each play a part in implementing AI in production. As many who work within computer science will know, many Artificial Intelligence (AI) projects fail to make the crucial …

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No-code & Lo-code: A Lighter Way To Enjoy Tech?

chocolate mousse, food, dessert

In this article with Datactics CTO Alex Brown, Matt Flenley asks about the nature of no-code and lo-code platforms like Datactics’ Self-Service Data Quality, and whether they really are a lighter way to enjoy technology?  The lo-code no-code paradigm can be a bit like Marmite. Some people say that it’s great, it gets the job done, and these are …

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Beyond data prep – Whitepaper SSDQ

As featured in the recent A-Team webinar, we’ve been strong advocates of a self-service approach to data quality (SSDQ), especially when it comes to regulated data types and wide-ranging demands on a firm’s data assets. This whitepaper SSDQ, authored by our CTO Alex Brown, goes deeper into the reasons why this approach is so much …

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Best Practices For Creating a Data Quality Framework

Chief Technology Officer, Alex Brown featured as a panellist in Data Management Insight’s webinar discussing the best practices for creating a data quality framework within your organisation.  What is the problem? A-Team Insight outlines that ‘bad data affects time, cost, customer service, cripples decision making and reduces firms’ ability to manage data and comply with …

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Why you should read the European Banking Authority report on AI and Big Data

You might have missed this highly informative report from the European Banking Authority (EBA)  – because the title didn’t contain the popular buzzwords of Artificial Intelligence – AI or Machine Learning – ML (nor does the front cover have a picture of a robot!). But for anyone who is trying to understand the challenges ahead for AI and …

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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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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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Get ADQ 1.4 today!

With Snowflake connectivity, SQL rule wizard and the ability to bulk assign data quality breaks, ADQ 1.4 makes end-to-end data quality management even easier.