This new video explains natural language processing: what it is, how it works, and what can it do for your organisation. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that focuses on giving computers the ability to understand human language, combining disciplines like linguistics, computer science, and engineering.
Companies need NLP because much of their crucial data, especially in industries like insurance, healthcare, and pharmaceuticals, exists as unstructured text in formats like PDFs, scanned documents, or audio, which computers struggle to process compared to clean numerical data.
The most effective way a business can get value out of NLP is by implementing it as part of a wider strategic and business-aware initiative, such as the development of a predictive risk model. This allows the company’s C-level to turn unstructured text documents into a quantifiable risk or cost estimate for the next quarter, delivering a phenomenal return on investment and a competitive advantage, especially in traditionally conservative industries. While lower-impact initiatives can save staffing costs (e.g., by triaging customer support), the highest impact comes from these larger strategic projects that provide predictive business insights.
Unleash the potential of your NLP projects with the right talent. Post your job with us and attract candidates who are as passionate about natural language processing.
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Fast Data Science Ltd’s flagship AI platform, the Clinical Trial Risk Tool, has been accepted as a supplier on the UK Government’s G-Cloud 15 framework.
We are pleased to announce that Thomas Wood, director of Fast Data Science, will be appearing as a panelist at the Bond Solon Expert Witness Conference on 6 November 2026 at Church House, Westminster in London. This follows Thomas’s recent appearance at the Ireland’s Expert Witness Conference on 20 May 2026.
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.
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