Fiona Browne

Fiona Browne is Head of Artificial Intelligence 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.

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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Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne

balance, inspiration, motivation

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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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 explaining …

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Fundamentals of Ethical AI with Dr. Fiona Browne

Logic

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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