Data Science and Software Engineering
Data Science and Software Engineering
Current challenges in the industry and in critical mission companies go far beyond the search for automation and the convenience brought by digital transformation. One of the main factors is the pursuit of cost reduction.
The concept of “digital twin” has been gaining a lot of strength in Industry 4.0, and this is because this new technology is capable of presenting various idealized characteristics.
Innovation Factor
- Monitoring and massive digitization of industry processes that require a rigorous architecture of integration and industrial automation
Advantages of the research line
- Automation, convenience, and flexibility
- Cost reduction
- Decrease in manufacturing time
- Predictive analysis to correct failures
- Increase in profits
- Strategic project planning
- Optimization of performance and life cycles of existing assets
Segments covered
- Telecommunications operators
- Electric Power
- Utilities
- Oil and gas companies, water distribution, and sanitation
- Health Sciences