Datactics Takes 'Human-in-the-Loop' Approach to Machine Learning

The data quality and matching specialist is testing an entity resolution model for better transparency and explainability.

discretionary v systematic

Belfast-based Datactics is producing an entity resolution model it has developed using a “human-in-the-loop” approach. The new feature will be embedded within the Datactics Entity Match Engine, which is used for tasks such as client onboarding, anti-money laundering (AML) and know your customer (KYC) processes.

As the name suggests, human-in-the-loop is a concept in machine learning where humans are directly involved in training and testing models for a machine learning algorithm.

Fiona Browne

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here