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.
This free A/B test calculator will help you compare two variants of your website, A and B, and tell you the probability that B is better. You can read more about A/B testing in our earlier blog post on the subject. You may also be interested in our Chi-Squared sample size calculator which will help you calculate the minimum sample size needed to run a Chi-Squared test, given an expected standardised effect size.
See also: Fast Data Science A/B test Calculator (Bayesian) A/B testing is a way you can test two things, Thing A, and Thing B, to see which is better. You most commonly hear about A/B testing in the context of commercial websites, but A/B testing can be done in a number of different contexts, including offline marketing, and testing prices.
Explainable AI for Businesses Guest post by Vidhya Sudani Introduction AI is moving rapidly and it can be hard to understand how an AI model works and what decisions it makes. Businesses are increasingly turning to Explainable AI (XAI) to demystify the “black box” nature of traditional machine learning models.
When you receive an email or document written by somebody it can be hard to work out if they use generative AI. There can be giveaways. For example, if that individual has written a document in a different style from their usual writing. Occasionally I have received messages with the prompts left in, such as “I really enjoyed working with you on [insert name of project]”. Around the world, students are finding themselves accused of using AI to write their dissertations, and finding themselves in quasi-legal proceedings in their university where it is impossible to prove conclusively whether generative AI was used to write a document.
You are probably familiar with traditional databases. For example, a teacher at a school will need to enter students’ grades into a system where they get stored, and at the end of the year the grades would need to be retrieved to create the report card for each student. Or an employee database might store employees’ home addresses, pay grades, start dates, and other crucial information. Traditionally, organisations use a structure called a relational database, where different types of data are stored in different tables, with links between them, and they can be queried using a special language called SQL.
A problem we’ve come across repeatedly is how AI can be used to estimate how much a project will cost, based on information known before the project begins, or soon after it starts. By “project” I mean a large project in any industry, including construction, pharmaceuticals, healthcare, IT, or transport, but this could equally apply to something like a kitchen renovation. This is a very typical business application of AI.
Senior lawyers should stop using generative AI to prepare their legal arguments! Or should they? A High Court judge in the UK has told senior lawyers off for their use of ChatGPT, because it invents citations to cases and laws that don’t exist!
Fast Data Science appeared at the Hamlyn Symposium event on “Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies” Thomas Wood of Fast Data Science appeared in a panel at the Hamlyn Symposium workshop titled “Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies”. This was at the Hamlyn Symposium on Medical Robotics on 27th June 2025 at the Royal Geographical Society in London.
We presented the Insolvency Bot at the 4th Annual Conference on the Intersection of Corporate Law and Technology at Nottingham Trent University This was an event with a strong theme around legal AI.
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