Thomas Blyth's blog

Data-driven innovation for business

Author: Thomas Blyth
Posted: 6 Dec 2018 | 16:12

In February EPCC will host an event to explain why data driven innovation is important for industry. We will also showcase how companies are already using data technologies to enhance commercial performance.

There is a lot of hype around big data and big computing for business, but it is undeniable that the influence of data-driven innovation will be profound.

The expertise and support available in Scotland has created a massive opportunity for our engineering and manufacturing sectors and, with the launch of the £500m Data-Driven Innovation (DDI) strand of the Edinburgh and South-East Scotland City Region Deal, this is an exciting time for exploring how technology can benefit business.

Industry projects round up

Author: Thomas Blyth
Posted: 12 Nov 2018 | 15:05

2018 continues to be a busy year for EPCC in terms of industrial collaborations. Here's an overview of some of our recent partnerships.

Industry projects update – and EPCC's Industry 4.0 event

Author: Thomas Blyth
Posted: 18 Jul 2018 | 11:56

2018 has been a busy year for EPCC so far, with several new collaborations with national and international companies. Here are some examples of our latest research-focused projects. We anticipate more success stories soon!

EPCC at Data Science Festival

Author: Thomas Blyth
Posted: 2 Apr 2018 | 15:54

EPCC took part in Datafest18, the Data Science Festival, this year by running our own fringe event in Edinburgh and exhibiting at the Data Summit Conference.

Fringe events are key to the success of Datafest, and with over 40 running across Scotland there was plenty to choose from. We ran a small event to deliver key insights on the new developments in the application of supercomputing to large-scale data analytics and machine learning. Our colleagues gave a series of talks and attendees also had an opportunity to see a live supercomputer in action via Wee Archie. The event allowed for plenty of questions and in-depth conversations, notably around deep learning and using neural networks to solve real-life problems. It closed with Dr Adam Carter providing some further details on what makes a data scientist, and the various routes to development and further training.