In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.
October 8th: meetup about Harmony, a free online tool for research using LLMs
Fast Data Science presented the Harmony project at the 19th AI and Deep Learning for Enterprise meetup in London on 8 October 2024! This meetup brings together passionate individuals interested in Artificial Intelligence and Deep Learning for Enterprise applications.
Natural language processing
Harmony is a free online tool that uses generative AI and Large Language Models (LLMs) to help researchers in psychology and the social sciences. It allows researchers to compare items in questionnaires, even those written in different languages. This can be incredibly helpful, for example, for conducting cross-national meta-analyses of multiple longitudinal studies that collected data from diverse populations.
At the meetup, Fast Data Science’s Director, Thomas Wood, will be presenting on Harmony. He’ll dive into:
This meetup is a fantastic opportunity to learn about cutting-edge research in AI and network with other industry professionals.

Fast Data Science is a leading data science consultancy firm providing bespoke machine learning solutions for businesses of all sizes across the globe. With a focus on innovation and collaboration, Fast Data Science empowers businesses to leverage the transformative power of data.
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Fast Data Science are pleased to announce we have updated the UK Company Details Google Sheets™ plugin. The plugin allows you to retrieve details such as company number, incorporation date, address, and directors’ details from Companies House (the UK company registry) and automatically populate them in columns of a Google Sheets™ spreadsheet.
This is an article based on my presentation on “The Role of Artificial Intelligence in Expert Investigations and the Preparation of reports” which I gave at the Expert Witness Conference on 20 May 2026.
Many companies and organisations have large datasets that are stored in a very unstructured format. For example, you could work for a US based healthcare provider or insurer and have patient records stored in a free text format such as HL7 files or PDFs. A building regulator, land registry, or mortgage provider may have texts and accompanying diagrams from thousands of building inspections or land title deeds. A patent attorney’s office may have records of patent applications in PDF format.
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