Professor Michael Granitzer and Dr Andreas Böhm welcomed the representatives of leading companies to the Audimax at the University of Passau.
Data is the oil of the 21st century. This statement was already popular when the University of Passau, together with the One Data company, founded the Passau Data Science Summit in 2017. It turns out that the subject has not lost its topicality. In times of generative language models, good data is the key to successful innovations.
Professor Michael Granitzer, Chair of Data Science at the University of Passau, explained at the opening of the event: "With this year's PasDas, we are once again making a clear statement: Data competence, AI, and responsible innovation belong together – and Passau is a place where this is lived." Together with Dr Andreas Böhm, founder and CEO of One Data GmbH, he welcomed the 180 participants in the Audimax of the University of Passau.
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For the seventh time, the team around Professor Granitzer and Dr Böhm brought representatives from leading companies to Passau. This year's conference, held on 3rd and 4th April, focused on how data products can sustainably scale companies and transform entire industries with the help of artificial intelligence. Data products process collections of data, metadata, and specifications for analysis purposes. They thus provide the basis for data-driven decisions. The programme of the event highlighted the breadth of their use: from the steel industry to healthcare to aircraft manufacturing.
Europe's great advantage: high-quality data
Among the keynote speakers was Achim Berg, who has previously served as a board member of T-Com and Bertelsmann, head of Microsoft Germany, and president of the digital association Bitkom, and is now, among other roles, chairman of the advisory board of One Data. In his speech, he had strong words about the EU Artificial Intelligence Act (AI Act): "The EU urgently needs to adjust its AI regulation to avoid stifling innovation."
He stated that Europe's great advantage is that it has high-quality data. The manager emphasised that the EU has a veritable treasure trove of data. But it is important to harness this now. He proposed flexible "regulatory sandboxes" that could help test and develop technologies more quickly. "We need a balance between ethical standards and the promotion of innovation to make Europe a future-proof AI location."
What researchers at the University of Passau say
Berg received support from the academic community: Innovation researcher Professor Carolin Häussler, who was in the audience, emphasised in the video that German companies have a treasure trove of high-quality data. Conferences like PasDas provide a place where business and science can come together to discuss new possibilities.
Trustworthy Generative AI Copilots for Better Data-Driven Decision-Making in Companies
Generative AI copilots are already being used in many companies. Can they assist employees with data analysis and decision-making? And if not, how can this be changed? These are some of the questions addressed by a team at the University of Passau in a new bidt project led by Professor Ulrich Gnewuch.
Professor Christoph Heinzl, who holds the Professorship of Cognitive Sensor Systems at the University of Passau, focuses on complex data and their visualisation in virtual worlds. In his lecture, he presented methods that allow companies to gain literally different insights into complex material systems.
Professor Ulrich Gnewuch, Chair of Information Systems with a focus on Explainable AI-based Business Information Systems, focuses in his research on users of generative language models with little technical understanding. He presented the GenAICopilot project, funded by the Bavarian Institute for Digital Transformation (bidt) of the Bavarian Academy of Sciences. In this project, he and his team are researching how trustworthy AI copilots can be designed to enable employees to make more efficient data-driven decisions.
Anna-Maria Sîrbu is a research associate in the bidt project GenAICopilot. She considers the event to be a particularly good opportunity for early-career researchers to exchange ideas with colleagues from other disciplines and to learn about the latest trends in companies.
Professor Stefanie Scherzinger, Chair of Scalable Database Systems, presented in her keynote speech how errors in data code can be detected in machine-assisted learning processes.
This text was machine-translated from German.
Professor Michael Granitzer
How can contexts of meaning be identified in a deluge of digital media?
How can contexts of meaning be identified in a deluge of digital media?
Professor Michael Granitzer holds the Chair of Data Science. His research focuses on the use of machine-based learning methods and intelligent human-machine interfaces.
