Nowadays, because of stiff market competition, organizations’ tendency to customer orientation and customer relationship management has turned into certain complexities. According to previous studies, it has been estimated that the cost of attracting new customers will be five times more than the costs of the maintenance of existing customers.
Online information influences every aspect of our lives: work, leisure and learning. As information systems become more embedded in our day-to-day experiences, it becomes increasingly important to understand how people interact with information and the consequences of those interactions.
With the support of partners from industry, academia and the public-sector there will be a week-long series of events to showcase the opportunities of data science and artificial intelligence. Events will be informative and provide a platform for networking and inspiration to embrace opportunity.
SOCIB New API: Download, Access, Manipulate and Visualize SOCIB Multiplatform Oceanographic Observing System Data
SOCIB focuses on scientific excellence with relevance and impact on society, leading a new era of ocean observation; science with and for society. In line with this mission, SOCIB has released recently its new API, a tool that aims to strengthen the dissemination of its data toward third parties with common ocean data interests.
The Oil and Gas Technology Centre (OGTC) intends to bring together practicing and potential domain experts, data engineers and data science practitioners from industry, academia and potentiallyd other industries to work together for a 1-2 day Data Driven Oil and Gas event.
A Look Into the Copernicus Marine Environment Monitoring Service. Initiation in the In Situ TAC Network & Data.
The In Situ TAC is the on-site data provider within the Copernicus Marine Service (CMEMS, marine.copernicus.eu) for validation & assimilation by CMEMS Modelling and Forecasting Centres (MFCS).
This training would benefit any sector who process personal data in any form and would benefit anyone new to data protection and also experienced processors/business owners.
“I’m sorry Dave, I’m afraid I can’t do that”: Negotiating the Legal and Ethical Minefields of Artificial Intelligence.
“I’m sorry Dave, I’m afraid I can’t do that”: negotiating the legal and ethical minefields of Artificial Intelligence.
Registration open soon
The University of Edinburgh Q-Step Centre is pleased to invite school pupils who are in S5/S6 and who are studying Higher or Advanced Higher in Maths, Geography, Modern Studies or related social subject to a social statistics data analysis masterclass focusing on inequality in Scotland and beyond. Teachers are also welcome!
Programme: this afternoon session on statistical literacy at the University of Edinburgh will include an Excel lab session and fun interactive activities which will promote secondary school pupils; 1) Ability to critically evaluate statistical findings from social research; 2) Data analysis skills in Excel; 3) Understanding of social and spatial inequality; 4) Familiarity with the new Q-Step degree programmes, including the opportunity to do a summer work placement which involves quantitative analysis of digital data in a leading organisation as part of your degree; 4) Familiarity with pathways to careers which combine quantitative skills with knowledge of social issues.
Why come to our event? Understanding the determinants and consequences of inequalities in the UK and internationally is a key learning outcome in secondary schools in Scotland. This event will consolidate and complement students' understanding of how digital data might be used to inform policy and practice related to tackling inequality. The even will be delivered by academics who are using digital data to research the stark inequalities in outcomes such as life expectancy, attainment, diet or voting behaviour that are observed across places and social groups. We have a large body of staff and student ambassadors who are so enthused by what they do that they all want to be part of this event and share their knowledge and enthusiasm with local school pupils. Our event is mostly interactive, consisting mainly of hands-on lab work and group work. The event will include a poster exhibition in which our current students will showcase their placements projects. We aim to inspire a whole new group of data-minded social scientists.
Locations: the event will take place at the University of Edinburgh (main campus, venue tba). The event is free but the number of places is limited to 40 secondary school pupils and teachers due to our lab's capacity.
The aim of the competition is to provide an entry point for young people to become excited about analyzing, interrogating, and presenting data, meanwhile making them aware of how use data securely, ensuring its veracity and the potential careers this could lead to. Linking the project to people working in the sector will engage the industry and inspire those children and young people involved.
We are looking to build on the success of our inaugural Ayrshire Bytes digital conference in 2017, to provide another, more interactive, event that equips businesses and our Computing students and staff with knowledge on emerging technologies that are impacting the wider economy. We want to show how we can work together to best take advantage of this knowledge.
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science allow us to harness the power of such data, leading to precision medicine, AI diagnostics, data-driven drug discovery and disease understanding, among others.
Artificial Intelligence (AI) is a broad area: it covers reasoning, planning, knowledge representation, sensory perception, language understanding, machine learning, optimisation and other related areas, and has been approached in a variety of ways, ranging from biologically inspired ideas (including neural networks), to logic (of various sorts), to emulation of experts.
The event is an opportunity for designers, creatives and practitioners to get to know each other, explore how they might work together, and build a common language. We will be exploring the ins and outs of how data and design are being implemented, used, and scaled across organisations.
The DataVisHub symposium, exhibition and collider will bring together researchers, artists, data scientists, data visualisation specialists, and data holders to explore how cross-sector collaborations around data visualisation can create public and social impact and citizen engagement through data.
A greater need for data-science skills across many sectors is anticipated in coming decades. So how can we get young people excited and enthusiastic about careers in data science?
The aim of the workshop is to introduce some basic concepts of computer vision using OpenCV, Python and deep learning.
Analysing Financial Behaviour Using Transactional Data (Fruits of collaboration between academia and industry)
Researchers from the University of Edinburgh and Heriot-Watt University, as well as members of the fintech industry join to deliver latest insights on personal financial health and financial behaviour in the UK.
This training course aims to bring the ideas and benefits of test-driven development to the arena of data analysis, augmenting and adapting those ideas as appropriate. We will introduce attendees to testing data at all stages of processing and the data processes themselves.
This is data done differently. Rethink what you thought you knew about data by exploring how it’s used in marketing. The data driven marketing industry is evolving at lightning speed and it needs talented people to think differently and push boundaries to produce extraordinary things.
The Scottish Centre of Excellence in Satellite Applications (SoXSA) will host this one-day workshop at the University of Strathclyde in Glasgow, where you will have the chance to build a UBO PocketQube satellite and then code it using Arduino to achieve your mission goals!
Satellite data is an emerging information asset used by businesses in many different industries. Example usages include the use of satellite data for to identify land usage, optimising solar panel energy output, extracting mineral deposits and assistance for planners and engineers.
The event will take place in the Glasshouse, Merchiston Campus. The target audience is everyone. Anyone interested in learning more about MyData, taking more control over their data and thinking about the data ecosystems their data is currently used in. The maximum size of the event would be 60 people.
All modern marketing is powered by data. This event will explore one common method to improve the use of data, segmenting your audience into smaller homogenous groups and then personalising the communications strategy to each segment.
With this hackathon we are challenging data scientists, students, programmers or visualisation experts to help us come up with new, interesting and different, interpretations of two existing datasets that we have available within the Leverhulme Research Centre for Forensic Science (LRCFS). There will be pizza!