Machine Learning

The Importance of Data Quality in Machine Learning

the importance of data quality in machine learning

We are currently in an exciting area and time, where Machine Learning (ML) is applied across sectors from self driving cars to personalised medicine. Although ML models have been around for a while – for example, the use of algorithmic trading models from the 80’s, Bayes since 1700s – we are still in the nascent […]

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How to test your data against Benford’s Law 

One of the most important aspects of data quality is being able to identify anomalies within your data. There are many ways to approach this, one of which is to test the data against Benford’s Law. This blog will take a look at what Benford’s Law is, how it can be used to detect fraud,

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Rules Suggestion – What is it and how can it help in the pursuit of improving data quality?  

rules suggestion

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

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Datactics is involved with the KTN: AI for Services UK Tour!

The first stop on the AI for Services UK Tour will be Northern Ireland curated by the fantastic team at Invest Northern Ireland and Innovate UK! We are delighted that Datactics will be one of the companies involved, the aim of the event is to discover the innovation taking place across the UK in the professional and

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The Open University talk: Business Ethics | 17/02

Business Ethics

Matt Flenley, Marketing and Partnerships Manager at Datactics will be speaking this week at The Open University, delivering a talk on Business Ethics. The talk is going to cover four things: The impact of unintended and cultural bias in machine learning  What to do if your business loses or has no soul Corporate Social Responsibility – Looking after people when the

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The Open University Business Ethics talk & Datactics

Business Ethics

Matt Flenley, Marketing and Partnerships Manager at Datactics 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 to have a chat and find out why this topic, what other views he hopes to talk about, and the importance of business ethics,

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AI Con 2020 Interview with Dr. Fiona Browne and Matt Flenley

AI CON

Dr. Fiona Browne, Head of AI, and Matt Flenley, Marketing and Partnerships Manager at Datactics are contributing to AI Con 2020 this year.    After a successful first year, AI Con is back! This year it’s 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

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How can banks arm themselves against increasing regulatory and technological complexity? – FinTech Finance

Banks

Datactics 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 Datactics in relation to

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Datactics contributes to Bank of England and FCA’s AI Public-Private Forum

AI Public-Private Forum

Belfast, London, New York, 12th October 2020 Datactics 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’s Office and

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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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Read how AI is transforming Data Quality in this exclusive white paper

AI Whitepaper for Entity Resolution

  In this AI whitepaper, authored by our Head of AI Fiona Browne, we provide an overview of Artificial Intelligence (AI) and Machine Learning (ML) and their application to Data Quality. We highlight how tools in the Datactics platform can be used for key data preparation tasks including cleansing, feature engineering and dataset labelling for

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Explainable AI with Dr. Fiona Browne

explanin

The AI team at Datactics is building explainability from the ground up and demonstrating the “why and how” behind predictive models for client projects. Matt Flenley prepared to open his brains to a rapid education session from Dr Fiona Browne and Kaixi Yang. One of the most hotly debated tech topics of 2020 concerns model

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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.