


Standing still means taking a step backwards – this is especially true when it comes to successfully implementing IT projects. That makes it all the more important to think about the new developments of tomorrow, today. This is why adesso considers research to be an important element in the innovation process. We participate in (publicly funded) research projects in various forms with the aim of finding new solutions, which in turn enable us to actively shape the future of our customers. But for adesso, research is more than that: it is the fascination with the new, the possibility to go beyond what has been achieved. That’s why we also use research to improve and develop ourselves.
Current focal points of ongoing research projects:
Various companies and partner companies work together for a limited period of time on every construction project. The degree of digitalisation at these companies still often varies greatly. As a result, media disruptions, manual follow-up work, inconsistent planning data and outdated planning statuses are currently difficult to avoid in construction planning and execution.
Construction projects are often handled by a large number of companies (SMEs), which are individually contracted. This often results in complex contract set-ups with a large chain of subcontractors. The complexity of the different trades involved means the current progress of a construction project is usually very unclear.
News, shopping, messenger services: apps for smartphones and web browsers have become an integral part of our lives. This means the security requirements for the data shared when using apps must be even higher. That’s why the AppSecure.NRW research project has set itself the goal of offering developers a way to develop this very sensitive software securely from the very beginning.
The joint project ON4OFF kicked off in January 2019 and focuses on the concepts and applications of artificial intelligence and machine learning. The aim is to improve the customer dialogue with those customers who prefer to shop in their region. The project focuses on intelligently combining brick-and-mortar and online trade through the targeted use of AI methods and applications.
The expansion of decentralised, renewable energy sources as well as manageable loads and storage (e.g., e-mobility) has meant that the control of energy systems is becoming increasingly complex. One solution is to divide the energy network into cells within which a decentralised, largely autonomous load and feed-in management is carried out.
The second phase of the project focused on the development of an innovative digital marketplace for ICT providers and ICT users/customers. The aim was to enable ICT providers to offer their services via standardised adapters and to enable telecommunications services from different providers to work together intelligently. This meant that invoicing and services were provided from a single source.
Duration
Phase 2: 1 September 2016–31 August 2018
Partners
adesso
Supported by the German Federal Ministry for Economic Affairs and Energy (Bundesministerium für Wirtschaft und Energie) as the result of a resolution passed by the German federal government and the German Aerospace Centre (Deutsche Zentrum für Luft- und Raumfahrt e.V.)
Digitalisation is also advancing at an ever-greater pace in the automotive sector. This leads to the networking of vehicle sensors, environmental sensors, danger prevention for road users without sensors and the control of complex traffic situations. Within the scope of this project, a system for acquiring a comprehensive picture of the environment in a complex traffic situation in the context of semi-autonomous and autonomous driving was developed and tested.
adesso developed an edge-cloud-based application platform for this purpose | Group coordination
Duration
1 July 2016 to 30 June 2019
Partners
adesso
Supported by EFRE.NRW and the European Union, European Regional Development Fund.
A sensor-based system for therapy support and depression management is useful for providing long-term care for patients dealing with depression. To this end, relevant health parameters were recorded, indications of emerging depressive episodes were identified and patient self-management and doctor-patient communication were supported. This also made long-term data analysis possible.
For this project, adesso developed an app that collects sensor data individually as well as a backend system for complex statistical evaluations.
Duration
1 November 2016 to 31 January 2020
Partners
adesso
Funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung), funding code 13GW0162 A-E.