Event  /  February 03, 2020  -  February 07, 2020

OOP 2020

Software meets Business – The conference for software architecture

From 3 to 7 February 2020, the OOP conference will take place in Munich. As usual, its motto is “Software meets Business”, and it is therefore a suitable meeting point for companies from the field of software. You can look forward to about 170 presentations to be held during the five days of the conference. This time, new tracks include “Agile Enterprise Architecture” and “DevOps & Continuous Everything”. In addition to the interesting presentations of more than 220 speakers, the OOP Conference is also an excellent platform for sharing experiences and for networking. So make use of this opportunity to not only learn something new about the topics Software Architecture, Product Discovery, and Business Agility, but also to share your ideas with like-minded people.

Fraunhofer IESE will also be represented at the conference with the following presentations:

Digital ecosystems start where the comfort zone ends [in German]

Tuesday, 04.02.2020, 4:15-5:15 p.m.; Dr. Matthias Naab, Dr. Marcus Trapp, and Matthias Koch

Digital ecosystems depend on strong networking across company boundaries and enable new business models. This means that software architects encounter new challenges, such as a particularly high level of unknowns or how to ensure end-to-end quality, beyond the classical EAMs. We will offer architects a customized crash course in digital ecosystems and platform economy, outline opportunities and challenges for architects, and give pragmatic tips on what architects should or should not do.

Further information about this presentation can be found under the following link: http://s.fhg.de/78q

The role of architecture in the age of AI and autonomous systems [in German]

Wednesday, 05.02.2020, 09:45-10:30 a.m.; Dr. Matthias Naab and Dr. Dominik Rost

AI and autonomous systems are on the advance and at the same time heavily dependent on data. The topic is omnipresent and is often looked at from an algorithmic, data-centered, or code-oriented perspective. A view of the overall architecture of systems that contain AI is often missing. Our presentation will support software architects in keeping track and asking the essential questions. For this purpose, we will draw on steps from data collection, Machine Learning, and model usage in order to systematically examine architectural aspects.

Further information about this presentation can be found under the following link: http://s.fhg.de/QuV