Because of the extensive use of technology, and the division of labour, the work of the average gig economy worker has lost all individual character, and, consequently, all charm for the employee.
The impact of AI on human resources The world of work is rapidly changing, both due to traditional data science practices being adopted by more organisations, and due to the increasing popularity of generative AI tools such as ChatGPT, and Google’s BARD among non-technical workers.
Insolvency Bot A bot leveraging LLMs to answer questions about English insolvency law. You can read more in our accompanying blog post.
In the light of the ongoing climate crisis, let’s talk about the carbon footprint of artificial intelligence. The everyday internet user might find it hard to fathom the fact that using ChatGPT or watching YouTube-recommended videos might generate greenhouse emissions.
Image from: harmonydata.ac.uk “Thinking too much” I have been working on the development of Harmony, a tool to help psychology researchers harmonise questionnaire items in plain text across languages so that they can combine datasets from disparate sources.
Insolvency bot, taking into account some statute law and some forms and some case law We have developed a bot using natural language processing to demonstrate the power of legal NLP.
On 7 June, 2023, at 6pm UK time (1pm EDT), we will be presenting in the webinar Dash in Action: Image Processing, Forecasting, NLP.
We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!
We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.
In 2009, Hal Varian, Google Chief Economist, was quoted as saying to the McKinsey Quarterly: “The sexiest job in the next 10 years will be statisticians.
‘Data Scientist’ was recently named by LinkedIn as “the most promising career” and according to a report by the US Bureau of Labour Statistics, there will be, on average, a 28% increase across the world in data science jobs by 2026.