7 min read
In June 2019, the government launched a call for evidence on the proposed framework of a strategy around data usage in the UK, receiving over 100 responses. At the same time, the government undertook a programme of roundtables, workshops, and...
5 min read
It’s no longer enough to measure model accuracy. Ethics, explainability, and wider performance are key KPIs that must be considered as equally crucial priorities.
3 min read
I would be surprised to find anyone who works in the tech sector, especially if they’re working with data, who hasn’t seen a significant emphasis on ethical applications of AI, or “doing AI ethically” (even the Pope has got involved!). Conferences,...
6 min read
In 2023, women comprised only 13.7% of the global engineering workforce. To commemorate International Women in Engineering Day, we are proud to share the stories of our own trailblazers of AI innovation who have been defying stereotypes, knocking...
3 min read
In the race to adopt AI, there is a flurry of activity happening in boardrooms and technical teams across the country. AI, which even a few years ago seemed to be the preserve of a vanguard of highly innovative companies, has suddenly become a...
2 min read
Clinical research data plays an essential role in the pharmaceutical industry but can also eat up resources in terms of time and money. However, by utilising machine learning in clinical trials, efficiency can be drastically improved, enabling...
2 min read
The internet can seem full of scary stories and science fiction, but what is Human-AI Collaboration really going to do to transform our lives in the near future?
2 min read
When we consider the role of artificial intelligence in life sciences, it already has a proven track record as an effective tool to support pharmaceutical research. However, companies are also moving fast to explore the transformational impact it...
3 min read
While machine learning has been around for decades, it has swiftly become a major buzzword in recent years. Following in the footsteps of 'digital transformation', many businesses are struggling to comprehend the intrinsic value of machine learning...
