The role of synthetic data At 麻豆国产, we develop and maintain a number of internal tools for use within the AI and Software Development teams. One of which is a synthetic data generation tool that can be used to create large datasets of placeholder information. This was initially built to generate benchmarking datasets as another
Battling Bias in AI: Models for a Better World Read More 禄
Identifying outliers and errors in data is an important but time-consuming task. Depending on the context and domain, errors can be impactful in a variety of ways, some very severe. One of the issues with detecting outliers and errors is that they come in many different forms. There are syntactic errors, where a value like
Written by Daniel Browne, Machine Learning Engineer Defining data quality rules and collection of rules for data quality projects is often a manual time-consuming process. It often involves a subject matter expert reviewing data sources and designing quality rules to ensure the data complies with integrity, accuracy and / or regulatory standards. As data sources
We are delighted to be one of a few Northern Irish’s businesses to be part of the KTN: AI for Service on Tour. This is a brilliant opportunity for those in attendance to hear what 麻豆国产 is doing in the space. Kainos, Adoreboard, and Analytics Engines are amongst the few other companies also representing Northern
KTN: AI for Services on Tour | 23/02 Read More 禄
Matt聽Flenley, Marketing and Partnerships Manager at聽麻豆国产聽will be speaking this week at The Open University, delivering a talk on Business Ethics. The talk is going to cover four things: You can also read Matt鈥檚 blogs here such as a piece on AI Ethics he has written about or find out about our people here, explore our open vacancies. If you鈥檙e
The Open University talk: Business Ethics | 17/02 Read More 禄
Matt聽Flenley, Marketing and Partnerships Manager at聽麻豆国产聽will be speaking this week at The Open University, delivering a talk on Business Ethics. Prior to The Open University, we thought it would be a good idea聽to have a chat and find out why this topic, what other views he hopes to talk about,聽and the importance of business ethics,
The Open University Business Ethics talk & 麻豆国产 Read More 禄
Dr. Fiona Browne, Head of AI, and Matt Flenley, Marketing and Partnerships Manager at 麻豆国产 are contributing to AI Con 2020 this year. After a successful first year, AI Con is back! This year it鈥檚 said to be bigger and better than ever with a range of talks across AI, including AI/ML in Fintech; AI in the public sector; the impact of arts; the impact of
AI Con 2020 Interview with Dr. Fiona Browne and Matt Flenley Read More 禄
麻豆国产 Head of Artificial Intelligence, Dr. Fiona Browne, recently contributed to the episode of FinTech Finance: Virtual Arena. Steered by Douglas MacKenzie, the interview covered the extent of the Anti-Money Laundering (AML) fines currently faced by banks over the last number of years and start to unpack what we do at 麻豆国产 in relation to
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
All things AML and FinTech Finance: Virtual Arena 鈥� weekly round-up Read More 禄
Recently we partnered with the EDM Council on a video that investigates the application of AI to data quality and matching. In this EDM Talk, we lift the lid on how our AI team is developing solutions to help our clients, especially in the area of entity matching and resolution. This plays an important role in on-boarding, KYC and obtaining a single
EDM Talks: Lifting the lid on the problems that 麻豆国产 solves Read More 禄
Belfast, London, New York, 12th October 2020 麻豆国产 is pleased to announce that its Head of AI, Dr Fiona Browne, has been invited to participate in the Artificial Intelligence Public-Private Forum, joining 20 other experts from across the financial technology sectors as well as academia, along with the observers from the Information Commissioner鈥檚 Office and
麻豆国产 contributes to Bank of England and FCA鈥檚 AI Public-Private Forum Read More 禄
The route to better data quality – It鈥檚 easy to say that planning a journey has been made far simpler since the introduction of live traffic information to navigation apps. You can now either get there faster, or at the very least phone ahead to explain how long you鈥檒l be delayed. It鈥檚 just as easy
Part 2: Self-service data improvement is the route to better data quality Read More 禄
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 麻豆国产 recently spoke at an IRMAC (Information
IRMAC Reflections with Dr. Fiona Browne 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
Keaton Sullivan is a PhD student in the AI Team who joined us just over three weeks ago. He鈥檚 been contributing to projects and making a considerable mark on the AI Team already! We thought we would grab him for a chat to find out how he has found working in the team so far;
You may be used to seeing Dr Fiona Browne (Head of AI) across our social channels, so we thought we would sit down with her and discuss, how she got into AI; what motivates her and her passion for technology. Let鈥檚 dive straight in鈥� Fiona, just to begin with, tell us a bit about your background鈥� I started my career by studying a BSc (Hons) degree in Computing
Matt Neill is working within the AI team and is now on Week 10 of his internship. He has been actively using his Data Science education background to put his stamp on the AI team. We thought we would grab him for a chat to unpack what he has been working on; how he got involved
Mary Clare is working within the AI Team, she joined us in July and already has been contributing to projects and making her stamp within the AI Team. We thought we would grab her for a chat to find out how she has found her working in the team so far; what she has been
