In this weeks podcast the tables are turned and former TDL podcast host Richard Carter takes the interviewees seat. Head of Data at The Data Lab, Brian Hills, leads the conversation in this episode. If you’re interested in career development, award winning data science projects, and all sorts of James Bond trivia(including which Bond covered […]
News
Generative Adversarial Networks – when AI gets creative
Since Frank Rosenblatt introduced the Perceptron in 1958, neural networks have significantly evolved and taken the world by storm. Their ability to model complex, non-linear relationships that exist in data, led to novel neural network architectures, able to outperform humans in various challenging tasks like face recognition, disease prognosis and playing video games. However, even […]
The Data Lab MSc: Being prepared for life in the world of data science
Roger Adams, currently studying an MSc in Data Science for Business at Stirling, tells us how the course is helping him to get immersed in the world of data science I write this on the train back to Dundee having just finished my last exam of the autumn semester (Big Data: Commercial & Scientific Applications). […]
Digital development loan helps property business boost productivity by 70%
A property maintenance and building services company that specialises in insurance reinstatement, has developed its own App that will increase productivity by 70%. Prater Contracts Ltd, a family business that was founded in 2007, has undergone significant growth in the last few years including moving into a larger, purpose built office two years ago and […]
Checking out the vibrant tech scene in Singapore
In November, I was given the brilliant opportunity by Data Lab to step out of the world of healthcare for a week (I manage the Cancer Innovation Challenge) and explore the world of fintech… in Singapore… at the world’s largest fintech conference. The Singapore Fintech Festival was anchored by a three day conference and it […]
The blockchain and how it could solve our recycling problems
Guest blog from Stewart McGrenary, Managing Director of Plunc.com Attention is constantly drawn to Scotland’s recycling problem from a number of different angles, highlighting various subjects such as e-waste, plastic recycling or a hard look at the recycling industry in general. However, the increase of recyclable waste still making its way into landfill is the […]
Power to the people: how data can empower citizens to lead healthier lives
Announcing the new Healthier Lives Data Fund – a new funding and support opportunity developed in partnership between the Scottish Government and Nesta. The last decade has seen an exponential growth in the amount of data generated, collected and analysed to provide insights in all aspects of industry, and healthcare is no exception. Health data […]
Sector Innovation Snapshots: Visualising innovation information in Scottish sectors for the Can Do Innovation Forum
This summer, I was asked to support the Scotland CAN DO Innovation Forum with some data visualisation work. The Forum has been working with its members, representing key employment sectors in Scotland, to better understand innovation. What does innovation look like? How does it manifest in different sectors? And how can we support innovation across Scotland? To […]
Announcing The Second Keynote of DataTech19: Mine Çetinkaya-Rundel
We have further updates on DataTech19, Scotland’s first technical data science conference! We are pleased to announce our second confirmed keynote speaker for DataTech19: Mine Çetinkaya-Rundel (Associate Professor of the Practice, Duke University, and Data Scientist + Professional Educator at RStudio). Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computation, reproducible […]
New Keynote Announcement for DataTech19: Debbie Bard, and Deadline Extension for Proposals
We are delighted to announce our complete list of keynote speakers for the upcoming DataTech19conference (organised by The Data Lab as part of DataFest), which now includes Debbie Bard, expert in machine learning at scale and data-intensive computing for experimental science, from the National Energy Research Scientific Computing Center (NERSC). Following this essential update, we would like to take the […]