The first speakers of #BAS23 are confirmed!

Jonas Andrulis started developing software as a teenager and quickly developed a fascination for mathematics and structures. After studying industrial engineering at the KIT in Karlsruhe and a thesis on Bayesian networks, he worked as a consultant in the field of AI and modeling. active. He successfully founded two AI software companies: The first to plan and optimize of logistics, the second to train and validate human-in-the-loop Deep Learning Algorithms to optimize the interaction between humans and machines. After three years as Engineering Manager for AI research in Apple's Special Projects Group and later Siri, he founded in 2019 again founded Aleph Alpha in Heidelberg, Germany, the third AI startup. Since then, Aleph Alpha has raised a total of 28 mil. Euros raised from some of Europe's top deep tech investors with the goal of establish independent top AI research and run enabling technology for a new kind of AI value creation process.

Joanna Bryson is expert in intelligence — both natural and artificial. With degrees in Social and Computer Sciences from Chicago, Edinburgh and MIT, her scientific research appears in venues from reddit to Science, and her policy voice is heard in the UN, EU, CoE, OSCE, OECD and GPAI.

Wolfgang Hildesheim studied high-energy physics, worked at CERN and DESY, and then served as executive vice president for global sales and marketing for a family-owned company in the field of Big Data and Communication Intelligence. In 2007, he joined IBM Technology, where he was first responsible for the Automotive, Aerospace and High-Tech Practice and then for the Big Data Industry Solution Business in Europe. Since 2012, he has been responsible for building and growing IBM's Watson, Data Science and Artificial Intelligence business in Europe in with a focus on DACH. Wolfgang Hildesheim regularly speaks at conferences, publishes on the topic of AI and is a member of national AI commissions, as well as on the board of the AK KI at Bitkom.

Marion is Head of Decision Science in IT-Pharma, where her and her team‘s responsibility is to implement Data Science/Artificial Intelligence solutions for and alongside with the entities of the Pharma business. Marion holds her PhD in Economics where she started her career quantifying the macroeconomic footprint of the health care industry and its effects on financial equalisation schemes to support political decision making, working as a Researcher for the WifOR Institute. Before joining Bayer in June 2020, she worked as a Data Scientist at the Deloitte Analytics Institute, where she broadened both her methodological as well as her industry expertise in the Life Science & Health Care area. Until end of 2022, Marion was Head of ""Decision Science for Medical Affairs, Pharmacovigilance and Regulatory Affairs"" at Bayer before she took over managing the whole Decision Science Pharma organisation. Today, the organisation of Decision Science in Pharma hosts a diverse skill set of Data Scientists and Machine Learning Engineers with technical focus areas such as Natural Language Processing, Computer Vision, Sound & Signal Processing, Optimization, Simulation, Advanced Analytics and Machine Learning Engineering.

Rosmarie Steininger is the founder and CEO of CHEMISTREE. She thinks it's great to effect relationships, and to do so with the help of algorithms. After studying business administration with a focus on business informatics, she spent eight years at the BMW Group developing algorithms for logistics systems and managing international projects. During her six years on the management board of the Eberhard von Kuenheim Foundation of BMW AG, she designed and managed charitable projects whose success was based on particularly good relationships among the participants. She brought both facets together in 2017 when she founded CHEMISTREE. CHEMISTREE develops matching and community platforms for its clients, e.g. for mentoring, peer coaching or for events. Excellence and trust in software development are important to Rosmarie Steininger - both in her company and in her role as an expert in the German government's AI strategy and the AI standardization roadmap.

Tim is a physical scientist turned data scientist turned AI manager. At Schwarz Group, Europe’s largest retailer, he leads the AI Engineering department, whose mission is to deliver value through AI data products. To this end, Data Science and Product Engineering teams work together to build a plethora of production-grade AI solutions for retail, food production, and waste management. Schwarz Group is Europe’s leading retailer (Lidl, Kaufland) and also active in food production (Schwarz Produktion) as well as in waste management and recycling (PreZero). In total, Schwarz group has more than 500,000 employees and an annual revenue of more than 130 bn EUR.