Josef Waltl
"From Data to Value in Industrial Use Cases"
Dr. Josef Waltl leads the global partner ecosystem for Industrial Software at Amazon Web Services (AWS). Prior to AWS he worked in Siemens building on software strategy & M&A for PLM, Smart Grid and Mobility. He holds a Ph.D. and an MBA from the Technical University Munich as well as a Dipl.-Ing. in Computer Science from the University of Salzburg and a Dipl.-Ing. from the Salzburg University of Applied Sciences in Telecommunications Engineering and Systems.
Bodo Hoppe
"What Lies Ahead of us? IBM's View on Technology Trends"
Bodo Hoppe is a Distinguished Engineer in IBM Research & Development GmbH located in Germany. He is responsible for the overall design quality and functionality of the IBM z Systems microprocessor and system ASICs. He is a thought leader in verification methodology and has introduced multiple innovations to verification approaches. He is leading the agile transformation enabling the user experience driving the hardware development from design thinking to feature based development. He is involved in multiple activities and collaborations with IBM Research on new technologies.
Christian D. Blakely
"Real-Time Learning and Prediction in (Un)structured Data"
Christian started his career at NASA Goddard Space Flight Center just outside of Washington DC originally as an atmospheric physicist. After completing a Ph.D. in Computational Science at University of Maryland, he had a 3 year long deep dive into Big Data and Machine learning while doing a post-doctoral fellowship with the United States Department of Commerce. He moved to Switzerland five years ago to pursue a career in FinTech, and now leads the Machine Learning team for PricewaterhouseCoopers Switzerland, focusing on real-time machine learning technologies.
He is also a part time classical concert pianist and recently won the AI in Music Hackathon hosted at the Karajan Music Institute.
Peter Parycek
"Data-Driven Policy-Making""
Peter Parycek is Full Professor for E-Governance, Head of the Department for E-Governance and Administration at the Danube University Krems and Head of the Competence Centre Public IT at Fraunhofer Fokus Berlin, funded by the Ministry of Interior. In August 2018 he has become a member of the Digital Council to advise the German government on the important matter of digitalisation.
Stefan Wegenkittl
"Confronting the Small Data Challenge: Achieving successful Digital Transformation in SMEs requires transforming processes, roles and technologies"
Stefan Wegenkittl is academic programme director of the Applied Image and Signal Processing degree programme as well as senior lecturer and head of the department of Applied Mathematics and Data-Mining at Salzburg University of Applied Sciences. There, he also heads the Applied Data Science Lab which conducts research in the areas medical image processing, biosignal processing and natural language processing. He finished his PhD in mathematics with distinction at the Paris-Lodron University Salzburg and received his habilitation in 2003. Current research is on various aspects of machine learning, representation learning and feature extraction in the aforementioned areas of application.
David C. Anastasiu
"The AI Data Revolution: Doing More With Less Data Labeling"
David C. Anastasiu is an Assistant Professor in the Department of Computer Engineering at San José State University. His research interests fall broadly at the intersection of machine learning, data mining, computational genomics, and high performance computing. As a result of his algorithmic work in the area of Data Science, Prof. Anastasiu was awarded the competitive Next Generation Data Scientist (NGDS) Award at the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2016). He serves on the program committees of the most prominent IEEE and ACM data science-related conferences and his work, which is funded by the National Science Foundation and several industrial partners, has been published in many top-tier conferences and journals.