Author name: Fiona Browne

Fiona Browne is the Head of Software Development and ML at Datactics, with over 15 years research and industrial experience. Prior to joining Datactics, Fiona lectured in Computing Science at Ulster University teaching Data Analytics and undertaking research on applied artificial intelligence and data integration. She was a Research Fellow at Queen’s University Belfast and a Senior Software Developer at PathXL. Fiona received a BSc (Hons.) degree in Computing Science and a PhD on Artificial Intelligence in Bioinformatics from Ulster University.

The benefits of an Augmented Data Quality Solution

The benefits of an Augmented Data Quality Solution

In the digital era, data is essential for every organisation, meaning good data management is needed to empower businesses to make well-informed decisions and operate efficiently. However, this can be a challenging landscape, encompassing catalogs, lineage, observability, master data management, and data quality.  We’re at a point now where institutions’ data estates are rapidly expanding. …

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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 Data Quality Tools Deliver Clean Data for AI and Machine Learning

How Data Quality Tools Deliver Clean Data for AI and ML

In her previous blog Dr Fiona Browne, Head of AI and Software Development, assessed the need for the AI and Machine Learning world to prioritise the data that is being fed into models and algorithms (and you can read it here. ) This blog goes into some of the critical capabilities for data quality tools …

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Datactics demonstrates rapid matching capabilities on open datasets

This blog from Fiona Browne, Head of Software Development & AI at Datactics, covers the subject of matching data across open datasets, a project for which the firm secured Innovate UK funding.   The Rapid Match project is a vehicle to address the complexity of integrating data and matching data at scale providing a platform for reproducible data pipelines for post and …

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ai con, artificial intelligence can help businesses survive

Artificial Intelligence can help businesses thrive

The coronavirus pandemic produced challenges not one of us could have expected. While some sense of normality is returning, many businesses still face an uphill battle to recover. Artificial Intelligence Technology, however, presents a solution for firms hoping to thrive once again.  Artificial Intelligence (AI) is being used for predictive tasks from fraud detection through …

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AI Whitepaper for Entity Resolution

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

  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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balance, inspiration, motivation

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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Logic

Fundamentals of AI ethics with Dr. Fiona Browne

AI Ethics Dr Fiona Browne heads Datactics’ four-strong AI team building explainable AI solutions. Here, Fiona delves into the thorny topic of ethics, the centrepiece of any AI expedition. More specifically,  the post goes into how to ensure that the potentially negative ethical impacts of AI do not outweigh the positives it can deliver across …

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