1. Data is your future
Data science, artificial intelligence and machine learning are already revolutionising everything, from how we communicate with each other to how we treat diseases. In a world where big data has a role in almost every action we take, it is important to understand the implications of this rapidly changing landscape on your business.
Embracing the data revolution no longer provides an opportunity for companies to differentiate, but it is necessary for organisations that want to stay relevant now and in the future.
Data science can be intimidating and many companies still do not understand how to train their employees and adapt their culture to take advantage of the ever-increasing amount of information. However, you don’t need to revolutionise a whole business model in order to stay successful. What you need to do is take actions that will enable you to stay agile and innovative in the marketplace.
2. Connect with a community of data science experts
For most businesses, it is very challenging to transform processes and culture so that they can effectively draw on data analytics. This is where the expertise and facilities from universities come in. Companies can engage with academics across a wide range of disciplines. Their projects can often be underpinned by the strengths of infrastructure and facilities which can help to unlock the power of data efficiently, so that organisations can gain actionable insights, quickly. For instance, the University of Edinburgh is a world leader in science and engineering. Its academics continuously undertake game-changing research that provides new and exciting opportunities for industry partners.
Collaborating with the University of Edinburgh provides an opportunity for your organisation to embrace the data revolution, improving your products, services, customer experience and your overall organisational performance.
3. Support for organisations to upskill their staff, get funding and collaborate on big data projects
The Data-Driven Innovation programme is part of the £1.3 billion Edinburgh and South East Scotland City Region Deal and aims to help organisations benefit from the data revolution.
The University of Edinburgh and Heriot-Watt University are leading the delivery of the Data-Driven Innovation programme. There are four areas of activity that can support businesses: skills and talent; data analysis; research partnerships; and consultancy.
a) Skills and Talent
From banking and law to retail and healthcare, it is estimated that Scotland needs an extra 13,000 workers each year with digital skills (1). The University is contributing to the City Region Deal’s goal to deliver 100,000 individuals certified in data-science-related subjects over 15 years, through new industrial doctorates, industry placements for students and staff, internships and executive education.
b) Data analysis
The University of Edinburgh has facilities and expertise to help organisations of all kinds to improve products and services through better data analytics. As part of the Data-Driven Innovation programme, Edinburgh International Data Facility will offer a safe and secure environment for data analysis, allowing academics and industry to work together to deliver solutions to today’s social and industrial challenges.
c) Research partnerships
Big data and data science are creating new opportunities and challenges for industries. The world-leading expertise from the University of Edinburgh can address these issues across various sectors, including public services, finance, agri-tech, and tourism.From commercial research with individual organisations to large-scale, cross-sector collaborations, the University can create multi-disciplinary research teams for bespoke industry challenges, combining this with data science expertise and facilities.
Through Edinburgh Innovations, the University of Edinburgh’s research expertise is available to commercial and public-sector partners through consultancy. Edinburgh Innovtaions can connect the right specialist to address any industrial challenge and make the process easy and efficient, maximising the opportunity for innovation.
4. The University of Edinburgh’s expertise in data science
The big benefit of engaging with the University is that you can collaborate with experts from multiple backgrounds and have access to a vast variety of facilities and research projects. The University of Edinburgh can provide support in a wide range of data disciplines, such as:
- AI, machine learning and IoT
- Analytics and modelling
- Business analytics, credit risk modelling and optimisation
- Cloud computing and infrastructure
- Data flows and real-time streaming
- Data security and privacy
- Databases, data quality, integration and exchange
- e-health record and large scale “omics” analysis
- High-performance computing
- Image processing
- Information visualisation
- Mobile and location-based applications
- Natural language processing
- Policy and ethics
- Search, semantic web and information retrieval
- Text mining and knowledge discovery
5. Facilities to support data science and big data projects
The University of Edinburgh is one of 14 Government-approved Centres of Excellence for Cyber Security Research in the UK. The University is also home to the Cyber Security and Privacy Research Network, a multi-disciplinary group facilitating connections and collaborations across the University linking researchers in the Schools of Informatics, Engineering, Maths, Law and Social & Political Science.
b) High-Performance Computing
Based at the University of Edinburgh, EPCC (Edinburgh Parallel Computing Centre) is the UK’s leading supercomputing centre, which hosts several national facilities, and has a global reputation. EPCC can support the creation of novel and high-performance software solutions for industry and commerce. As part of the University’s role in the Data-Driven Innovation programme, EPCC is home to Edinburgh International Data Facility, bringing together regional, national and international datasets to facilitate new products, services, and scientific studies. Learn more about EPCC.
c) Human-data interaction
The Centre for Design Informatics at the University of Edinburgh provides a platform in which design and data science can mix. The Centre delivers solutions for the commercial, cultural and civic sectors.
- Security – applied ethics for secure domestic internet-of-things devices;
- Health – informatics to support conditions associated with ageing communities;
- Mobility – models of data-driven transport across civic and private networks;
- Finance – payment services within peer-to-peer lending frameworks.
The University’s strengths in data science have been driving innovation and supporting the needs of the public and private sectors, for years. Read some examples of how working with the University of Edinburgh helped organisations to unlock the power of data.
The University of Edinburgh and Legal & General have announced a major partnership to improve understanding of care in later life and to revolutionise how it is delivered through data driven innovation. The collaboration will establish the Advanced Care Research Centre (ACRC), a seven-year multi-disciplinary research programme and the first of its kind in the UK. ACRC will combine research from the University of Edinburgh across fields including medicine and other care professions, life sciences, engineering, informatics, data and social sciences. The £20m agreement marks the University’s largest industry investment to be confirmed as part of the £661m Data-Driven Innovation (DDI) initiative.
RBS has opened a data innovation research unit at the Bayes Centre to stimulate ideas that will help develop new products and services. Data specialists from RBS now work with analytics experts from the University of Edinburgh to improve customer experience through data science.
Project Mercury programme, a unique collaboration between the University of Edinburgh Centre of Design Informatics and Tesco Bank was designed to explore Fintech, develop talent and foster innovation and creative thinking. Through Project Mercury, Tesco Bank designers, software engineers, data scientists and programmers worked in partnership with both students and lecturers from the University of Edinburgh’s Design Informatics School. Internships have taken place in both directions – University staff working at Tesco Bank, and Tesco Bank staff working at the University. The partnership facilitated a lecture series open to all colleagues with topics such as blockchain, artificial intelligence and data ethics; exploring both current and future applications of these technologies and the impacts that these could have on society.
- Edinburgh Medical School: Molecular, Genetic and Population Health Sciences. “Data initiative to tackle digital skills gap” Available at: https://www.ed.ac.uk/usher/news-events/news-2018/data-initiative-to-tackle-digital-skills-gap Accessed: 24 Feb 2020