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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 […]
The Importance of Data Quality in Machine Learning Read More »
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
How Data Quality Tools Deliver Clean Data for AI and ML Read More »
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
Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne Read More »
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.
