"Digitalisation and innovation are not an end in themselves. That's why we take a very close look at which processes and tasks can be optimised for our customers through digitalisation - and develop corresponding use cases."
Innovation is the backbone of companies and organisations, but despite advances in technology, some organisations are still struggling to take advantage of digital applications. What does digital transformation look like? What does technical progress mean and which digital business models are required? There is often a lack of understanding of which processes and tools can be used strategically to achieve business goals or decouple analogue processes into digital ones.
For us, innovation means greater efficiency through automation, the simplification of processes and workflows and new forms of communication. We receive important impetus from our various research activities, which aim to master the transfer of knowledge from theory to practice, for example in the area of digital curation.
As a digital agency for digital transformation, we develop outstanding web applications that are flexibly customisable, functionally strong and stand for robust process reliability. As lean solutions, they complement and/or replace modules of common industry software.
We develop product innovations and digital services in a strongly practice-oriented context and focus on the needs of users - from the e-publisher:stage content management system for the cultural sector, AI-optimised solutions and assistance systems for editorial work to the programming of complex workflows for administration.
AI makes possible what no editorial or communications team is capable of: analysing and structuring enormous amounts of data from a wide variety of sources in the shortest possible time. In this sense, artificial intelligence acts as a pioneer of digital communication.
Artificial intelligence (AI) continues to harbour enormous potential for innovation: Progress in the development of increasingly powerful systems is reported almost daily. At the forefront of this development are companies such as Google, Facebook and Amazon, which use these technologies for image search, machine translation and voice control, for example.
But what does this mean for organisations that do not have AI technologies and the corresponding expertise? Can they also benefit from current developments?
In past and current innovation projects, we have developed advanced AI applications for an augmented user experience. By this we mean user interfaces that add intelligent functionalities to complex information offerings to make them more accessible for users in the frontend and backend. For example, intelligent search masks support research and show semantic links between search hits. These tools and applications can be integrated into content management systems as microservices (AI services).
