logo

Helping Danish SMEs find ways to exploit ‘big data’

Sector: Advanced Electronics • Location: Denmark

Source: European Database

Project
Closed

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

4 Q
The project “Helping Danish SMEs find ways to exploit ‘big data’” is an infrastructure initiative in the Advanced Electronics sector, located in Denmark. Taiyo aggregates data on it from European Database.

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

Email

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