BDZOS — International Big Data Centre East Bavaria-South Bohemia
Sector: Advanced Electronics • Location: Germany
Source: Keep.EU
Big data and cloud computing are current key topics in the field of digitalisation. Through digitalisation, companies have huge, often largely unused amounts of data. Especially American companies achieve spectacular success by systematically analysing their data using state-of-the-art big data technologies and laying the foundation for automated Industry 4.0 applications. This enables information
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 | Big data and cloud computing are current key topics in the field of digitalisation. Through digitalisation, companies have huge, often largely unused amounts of data. Especially American companies achieve spectacular success by systematically analysing their data using state-of-the-art big data technologies and laying the foundation for automated Industry 4.0 applications. This enables information and innovation advances as well as ultimately competitive advantages. The potential of Big Data illustrates the example of the forwarding company US Xpress: the U.S. company specifically evaluates sensor and geodata of its truck fleet and realises annual savings in millions by reducing idle times and fuel consumption. Large German and Czech companies are also making massive upgrades in the area of big data. However, the economy in the programme region is dominated by small and medium-sized enterprises (SMEs), where big data applications are almost completely absent. This is often due to restrictively high investment costs in your own data infrastructure, lack of awareness and know-how. Cloud services offer companies the opportunity to use software as a service and to increase the costs accordingly. At present, however, convincing examples of applications tailored to SMEs with reliable cost-benefit analyses as well as competent neutral contacts on site are still missing. There are also reservations regarding data security, especially for cross-border services and transactions. A regional big data center, which integrates the region’s SMEs in research and innovation in the field of big data and develops together robust and accepted application examples, can remedy and compensate for the competitive disadvantage compared to large corporations. So far, the region’s competences are only available separately in high-performance IT infrastructure for storing and processing data volumes (cloud technology and high-performance computing at TC Pisek) and data analysis (TC Grafenau). In the project, a fully equipped Big Data Centre will be set up by pooling these competencies. In addition to the creation of a transnational technology transfer programme (consisting of meetings, seminars, SME workshops and demonstration laboratories), this includes in particular the development of cross-border technical cooperation. Big data applications are technically highly complex, therefore cooperation in this field requires the development of a corresponding software architecture and the testing of cooperation in pilot projects. Through the project, SMEs in the region gain sustainable access to state-of-the-art technology and are integrated into research and innovation in the field of digitalisation. The South Bohemian Chamber of Commerce ensures the sustainable networking of the Big Data Centre in the regional economy. |
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 | Medium |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
