News & blog

Read the latest news and blogs from The Data Lab and Scotland’s data science community.

Building blocks graphic

2022: the year of personal development

Skills. It’s a topic that continually arises in the workplace. From conquering the IT skills gap to continuous personal development – it’s an issue that equally impacts both employers and employees.  The pandemic has not only impacted the operations and viability of organisations, but as an International Labour Organisation report outlines, it disrupted the education and

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Challenges & opportunities facing your SME or start-up business

Challenges & opportunities facing your SME or start-up business

The Data Lab’s TORCH advisors reflect on the lessons learned from 2 years of supporting some of Scotland’s most ambitious organisations Since its launch in March 2020, our TORCH team has helped over 30 businesses from a wide variety of sectors including (but in no means limited to) Travel & Hospitality, Comms & PR, Youth

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Thinking of developing an online course? Here’s what we have learned

To achieve The Data Lab’s vision to showcase Scotland as an international leader in Data Science, we have launched our online learning call for 2022. Funding is available for colleges and universities for the development of online courses that contribute to the requirement for more flexible high-quality data science training and education. Find out more

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CEO Brian Hills

Brian Hills named as CEO of The Data Lab

Appointment follows Hills taking on interim CEO role earlier this year. Brian Hills has today been announced as the new CEO of The Data Lab, Scotland’s innovation centre for data and AI. Hills was most recently interim CEO following the departure of Gillian Docherty OBE in January this year, who left the organisation to take

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Raspberries

A berry good idea – fruit growers and data scientists in landmark AI project

Data scientists at the University of Aberdeen are teaming up with fruit growers to build an artificial intelligence (AI) system to forecast harvests, which could potentially save the industry millions each year. The machine learning system for soft fruit yield forecasting is a three-year collaboration involving the University, Scotland’s innovation centre for data and AI

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