2 Days | 50+ Sessions | 60+ Speakers | 900+ Participants
Unlocking the Potential of Data and AI
When it comes to new technologies, making the step from a proof-of-concept to an value-generating application is a challenge. However, future-proof business models are needed. What does it take for Big Data and artificial intelligence to arrive in the German economy and the whole value chain of organizations? How can businesses avoid that innovations in data and AI do not make it to production? And how to overcome technical and organizational hurdles in the process?
At the Big-Data.AI Summit 2023, Europe's leading conference on the application of artificial intelligence and big data in business, we want to explore best practices and concrete use cases that enable companies to make it past this initial proof-of-concept. With experts from industry, politics & research we will dive deep into solutions in different sectors and also investigate what lies ahead for enterprises who want to become data-driven. Join us on the 20th and 21st September 2023 at #BAS23 to find out which technologies can be leveraged for the development of your business model, what to know about the social and legal circumstances and how rules for AI and data in Europe can be designed. Together with our partner conference Quantum Summit 2023, we will explore over these two days how to unlock the value of technology for your company!
We are looking forward to welcoming you in Berlin!
Our first speakers 2023
Dr Marianne Janik
Prof Dr Antonio Krüger
Antonio Krüger is CEO and scientific director of the German Research Center for Artificial Intelligence GmbH (DFKI) and head of the department “Cognitive Assistants” at DFKI. He is a full professor for Computer Science at Saarland University (since 2009), Head of the Ubiquitous Media Technology Lab and scientific director of the Innovative Retail Laboratory (IRL) at DFKI. Prof. Krueger is an internationally renowned expert on Man-Machine-Interaction and Artificial Intelligence. In 2010 he has established the Mediainformatics study programme at the Saarland University and directs it to this day. Antonio is a co-founder of the Saarbrücken-based technology company Eyeled GmbH, which focuses on the development of mobile and ubiquitous information systems. Many of his research findings have found their way into applications in retail and other industrial domains. From 2004 to 2009 he was a professor of computer science and geoinformatics at the University of Münster and acted as the managing director of the institute for geoinformatics. He studied Computer Science and Economics at Saarland University and finished his Ph.D in 1999 as a member of the Saarbrücken graduate school of „Cognitive Science“. Antonio has published more than 200 scientific articles and papers in internationally recognized journals and conferences and is member of several steering committees, editorial boards and scientific advisory committees.
Julia Sterling works for Commerzbank as Vice President in Business Development / Big Data & Advanced Analytics. Her focus is on cloud and machine learning governance principles. This includes developing and evaluating the strategic direction for the use of Machine Learning and Artificial Intelligence. This also includes issues around AI ethics and legal requirements.
Julia studied in Frankfurt and Loughborough (UK) and holds an interdisciplinary Bachelor in ""Management, Philosophy & Economics"" and Master in ""Finance"" (Capital Markets).
She is a founding member of the "European Cloud User Coalition" (ECUC), member of the IIF Digital Working Group, EBF AI Expert Group and BDB Working Group Open Finance, Data and Artificial Intelligence.
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.
Dr Joanna J. Bryson
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.
Dr Wolfgang Hildesheim
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.
#BAS23 addressed three topic clusters
Big data and AI are entering all industries, various use cases demonstrate the potential these technologies can have across the whole economy. However, the uptake so far leaves room for improvement, demonstrating that there are still some hurdles to overcome when introducing intelligence into an organization. Where can businesses benefit from these technologies already today? What are common challenges when turning into a data-driven enterprise? Get insights into horizontal topics, like the organizational and cultural changes that need to accompany such a transition, as well as best practices concerning the implementation of relevant solutions at #BAS23.
Framing for good
With the uptake of data and AI technologies and the consequently scaled impact they have on our society, questions arise regarding their ethical and sustainable dimension. Politics is striving to shape a setting that guarantees certain principles when the technologies are used, companies are investigating the diverse consequences of their solutions. How can artificial intelligence be developed in a way that allows users to adequately mitigate possible negative effects? How to reflect the role of data and its meaning for solutions and business models? #BAS23 will shed light on these and further questions related to the regulatory setting as well as innovative solutions.
Harnessing technological innovation
Innovations in AI and data are coming at an increasing speed and, thus, new business opportunities arise in parallel. Ranging from the ever-more human-like capabilities of language models to the power of AI in predicting virus variants in a pandemic, data and AI technologies enable better solutions to a variety of problems. As the possibilities unfold, enterprises must navigate these manifold developments and identify what is valuable for their current – or future! – business model. What technology will affect my company or even the whole market? How can these developments be leveraged to transform my business? Get inspiration and orientation on what to look out for when setting your company up for a data-driven world at #BAS23.
Our first partners 2023
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