Digi Breakfast: AI goes industry

Date: 12.9.2017 at 8.00-10.00
Venue: AS2, TUAS Building, Maarintie 8, Espoo

Participation is free of charge and you may distribute this invitation for your industrial and public sector collaborators.

Advances in artificial intelligence disruptively change the society, enabling novel products and services that used to be science fiction still recently, and Finland is committing to become one of the world leaders in artificial intelligence. The question is, how do we get there? The Helsinki area is widely recognised as a key player in artificial intelligence research, with strong research tradition in machine learning and neural networks. How can we use this world-class expertise to help Finnish industry to obtain competitive edge? How can companies be part of developing the next generation of artificial intelligence?

08:00 - 08:30 Breakfast (sponsored by Aalto Digi Platform)
08:30 - 08:50 Our AI highlights (Kaski, Neuvo, Honkela, Vuollekoski, Vehtari)
08:50 - 09:05 Ilona Lundström Ministry of Economic Affairs, “Finland’s artificial intelligence programme" 
09:05 - 09:20 Pekka Sivonen, TEKES programs supporting AI
09:20 - 09:35 Matti Aksela F-secure, AI in Cyber Security (slides not available for security reason)
09:35 - 09:50 Jouni Seppänen, Reaktor, AI at Yle, Case: Recommendation systems
09:50 - 10:00 Q&A



Prof. Aki Vehtari, is an associate professor in Aalto University Department of Computer Science. He is the co-leader of the Probabilistic Machine Learning Group. He develops new methods for probabilistic modeling, Bayesian inference and machine learning. The groups current focuses are in particular learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization. Their primary application areas are digital health and biology, neuroscience and user interaction.


Dr. Henri Vuollekoski has a PhD in physics and a background in atmospheric sciences. At Aalto he is now coordinating the development of ELFI, a software package for likelihood-free inference.


Prof. Samuel Kaski is an Academy (research) Professor of the Academy of Finland, Professor of Computer Science at Aalto University, and Director of Finnish Center of Excellence in Computational Inference Research COIN. His field is probabilistic machine learning, with applications involving multiple data sources in interactive information retrieval, data visualization, health and biology.


Prof. Antti Honkela is an Assistant Professor and Academy Research Fellow at University of Helsinki, he is specialized in Machine LearningBayesian, InferenceBiostatisticsBioinformatics.


Dr. Ilona Lundström, Director General
Ilona Lundstrom, D.Sc. is head of Enterprise and Innovation Department at Ministry of Economic Affairs and Employment of Finland. In this capacity she is responsible for Finland’s national enterprise and innovation policy and its implementation.  She holds also the position of vice chair of national steering group to prepare a proposal for Finland’s artificial intelligence programme.


Matti Aksela, Vice President, Artificial Intelligence, heads the Artificial Intelligence Centre of Excellence at F-Secure. His responsibilities include leading artificial intelligence research and implementation work at F-Secure, as well as collaboration with both internal stakeholders and also universities and other partners in the domain. Prior to joining the F-Secure team, Matti has been working in various senior technical leadership roles in organizations such as Comptel, Verto Analytics and Xtract, building and delivering products and solutions that utilize big data, machine learning and artificial intelligence across industries. He received his Doctor of Science (Technology) degree from the Helsinki University of Technology. 


Dr. Jouni Seppänen holds a doctorate in Computer and Information Science from Helsinki University of Technology. He is working as an AI Developer at Reaktor, currently on recommendation systems for Yle. Previously he has worked on projects including an intelligent waste-sorting system and a product for consumer data analysis.


Pekka Sivonen is the Director of the Digital Area in TEKES, responsible for identifying the future directions and business opportunities of digitalisation. He is also responsible for building Tekes' strategy for exploiting digitalization in the business world. Pekka has a diversified business venture experiene, including the founding and managing director of Digia, and IndustryHack's head coach, which promotes the Internet based business of objects. Pekka Sivonen moved to Tekes from healthcare startup accelerator Vertical.


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