Helping Danish SMEs find ways to exploit ‘big data’
Sector: Advanced Electronics • Location: Denmark
Source: European Database
SMEs have a huge unrealised business potential in using their data. AI will not ‘magically’ identify this value, though, but if you uncover your data sources, and know what you would like to get out of the data, AI can be instrumental in harnessing your data.Peter Andersen, Project ManagerCollaboration was key to the project’s success, as groups of two to four companies were matched with research
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | SMEs have a huge unrealised business potential in using their data. AI will not ‘magically’ identify this value, though, but if you uncover your data sources, and know what you would like to get out of the data, AI can be instrumental in harnessing your data.Peter Andersen, Project ManagerCollaboration was key to the project’s success, as groups of two to four companies were matched with research teams to work in areas relevant to their businesses such as machine learning, use of artificial intelligence (AI), database management and 3D data visualisation. Companies were able to benefit from the project team’s extensive IT expertise and from each other as they tackled issues common to the use of big data.From innovation to the marketplaceSMEs that took part in the project came from a range of fields such as cyber security, digital accounting, e-gaming, health diagnostics, energy optimisation and industrial automation. Many are now on the path to commercialising innovations they developed through the project. In early 2020, nine companies had products either ready for, or already on the market. A further six to nine expected to be ready within a year.For example, one company is looking to introduce a system that will allow opticians to perform certain diagnostics that are traditionally carried out by trained eye doctors, such as detecting the early signs of diabetes from eye scans.Another company is set to launch a new digital accounting system which can recognise accounting plans from scanned documents. This SME offers online tools to help people and companies complete their tax returns and annual reports. Collaboration with the project’s IT experts led to the development of a machine learning algorithm and the engine behind the new system.Coping with complexityMeanwhile, an engineering company has developed a database tool to help manage large, complex construction projects. The 3D visualisation application makes the huge amounts of data continuously being collected in a construction project available in an intuitive way.Innovative Use of Big Data was a collaboration between the Alexandra Institute, Aarhus University, Aalborg University and a private IT networking organisation called the IT Forum. All these partners have experience and expertise in business development, digital technologies and use of data science.Total investment and EU fundingTotal investment for the project “Innovative use of Big Data” is EUR 1 812 081, with the EU’s European Regional Development Fund contributing EUR 603 996 through the “Innovation and Sustainable Growth in Business” Operational Programme for the 2014-2020 programming period. The investment falls under the priority “Increase the number of innovative SMEs”. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
More Advanced Electronics projects in Denmark
- Phillips-Medisize’s Manufacturing Facility Expansion, Struer
- ArNoCo’s Nordhackstedt Whey and Lactose Facility
- Advanced Modeling of Baltic cancer e-caRe
- ARTEMIS
- Hospitalisation of COVID-19 patients at home
- Culture for Sustainable Development
- InnoCompTec
- Infrastructure foundation for the detection of diabetes 1, celiac disease and autoimmune thyroiditis
