Organisations that fund programs, or perform or fund research are naturally interested in the impact their funding is having, but tracking and measuring impact can be extremely challenging. Some of the reasons for this are...
How not to get left behind by AI: tips for getting started with a Pilot Project The Economist recently published a piece entitled Your employer is (probably) unprepared for artificial intelligence (AI). It’s a thought provoking article that...
Like everyone else, we’re (cautiously) excited by the developments that are going on in the world of Natural Language Processing (NLP) at the moment, and the high profile that the field has been given by...
It is no secret that the power of machine learning models comes from the data that they are trained on. It should come as no surprise then that the most common question we get at...
Access to high quality annotated data remains one of the biggest limiting factors preventing companies from progressing an AI use case into a working implementation. This is despite great advances in few shot learning and pre-trained models...
In a former life, I worked as a data scientist in the Government Digital Service (GDS), the UK Government agency responsible for digital transformation. When I joined GDS, I already had some experience of the...
Organizations with a large collection (corpus) of documents often need to find similar documents. For a grant-giving organization (for example a charitable foundation like the Wellcome Trust), the use case could be finding experts to...
NOTE: I’ve been a bit slow at getting this blog post published, hence there have been a few changes since it was written. Most notably, this post relates to version 2 of Rasa, which has...
Large grant giving organizations like the Wellcome Trust or Cancer Research UK receive thousands of applications for funding grants each year. Analysis of this data can be complicated by the fact that adding useful metadata to funding grant applications...
