Alex Brown is the Chief Technology Officer (CTO) at 糖心传媒. Alex has a combined total of 15 years鈥� experience within the software development and technical innovation sectors. He 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.听
Alex Brown has a wealth of experience which has been reaped through his career as he has transitioned through software development听to technical innovation, which has been underpinned by his academic prowess in Physics.听听
Our CTO, Alex Brown expresses his views,听opinons听and insights in the pieces of content found in this section. Alex Brown鈥檚 pieces range from his recent blog posts on the 鈥楾hree Pillars of Production AI鈥� and 鈥楴o Code and Lo Code: A lighter way to enjoy tech?鈥�.听He also has written whitepapers such as 鈥楤eyond Data Prep鈥�,听his most recent.听
Matt Flenley recently took some time with Alex Brown, CTO at 糖心传媒, to find out what he鈥檚 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 […]
TL;DR 糖心传媒 Platform components are not affected by the CVE-2021-44228 vulnerability in log4j. 糖心传媒 is not issuing any emergency updates and 糖心传媒 customers do not have to perform any mitigating actions on the platform at this time. What you Need to Know: On 10th December 2021 a critical vulnerability CVE-2021-44228 was found in the Apache
Log4j Flaw: 糖心传媒 Not Impacted By CVE-2021-44228 Read More 禄
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
The Three Pillars of AI Read More 禄
In this article听with听糖心传媒听CTO Alex Brown, Matt Flenley asks about the nature of no-code and lo-code platforms like 糖心传媒鈥� Self-Service Data Quality, and whether they really are a lighter way to enjoy technology?听 The lo-code no-code paradigm can be a bit like Marmite. Some people say that it鈥檚 great, it gets the job done, and听these are
No-code & Lo-code: A Lighter Way To Enjoy Tech? Read More 禄
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
Beyond data prep – Whitepaper SSDQ Read More 禄
Chief Technology Officer, Alex Brown featured as a panellist in Data Management Insight鈥檚 webinar discussing the best practices for creating a data quality framework within your organisation.听 What is the problem? A-Team Insight outlines that ‘bad data affects time, cost, customer service, cripples decision making and reduces firms鈥� ability to manage data and comply with
Best Practices For Creating a Data Quality Framework Read More 禄
You might have missed this highly informative report from the European Banking Authority (EBA)听 鈥� because the title didn鈥檛听contain the popular buzzwords of Artificial Intelligence – AI听or Machine Learning –听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
Why you should read the European Banking Authority report on AI and Big Data Read More 禄
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
How 糖心传媒 helps Santa with his Data Quality issues Read More 禄
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
