Future Considerations of AI
Future Considerations of AI is a study module in the Data, Analytics, and AI for Professionals (DAAP) program and can also be taken as a stand-alone program.
As artificial intelligence continues to evolve at an accelerating pace, organizations must look beyond current capabilities and prepare for the technologies and societal shifts that lie ahead. This module delves into the most relevant and forward-looking developments in AI — from intelligent agents and quantum machine learning to edge computing, explainability, and robotics.
Designed for professionals and managers across industries, the Future Considerations of AI program explores how these technologies will shape the future of work, business, and society. Participants will engage with real-world applications, strategic implications, and emerging risks — gaining both technical perspective and leadership insight.
Module content varies based on the most current and relevant themes and developments, such as:
- AI Agents and autonomous systems
- Robotics powered by intelligent decision-making
- Quantum Machine Learning
- Explainable AI (XAI) and transparency
- Edge AI and the Internet of Things (IoT)
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Benefits
In an environment where AI advancements increasingly define competitiveness and operational resilience, organizations must be ready to anticipate and adapt. This module helps you to build the internal foresight and technical literacy needed to assess the opportunities and risks of emerging AI technologies — particularly as they converge with robotics, automation, and connected systems. You will return with actionable insights to support innovation, investment decisions, and responsible AI strategy.
For
The program is suitable for anyone who needs deep understanding and skills to apply data analytics and AI technology.
The program is well-suited, for example, for
- IT specialists, Managers, and Directors
- Analysts
- Business Development Leaders and Managers
- HR professionals
- Product Managers
- Cloud Engineers
- Programmers and Developers
- Engineers from different fields
Instructors
Antti Ukkonen
Antti Ukkonen is a computer scientist and educator with 20+ years of R&D experience from both private and public sector organizations.
At present Antti is an independent consultant advising companies with AI projects. Previously he was the Chief Product Officer at Speechly, a venture funded startup acquired by Roblox Inc in September 2023. Prior to this he was an Academy Research Fellow at University of Helsinki. He has also worked at the Finnish Institute for Occupational Health, Aalto university, as well as Yahoo! Research. Antti holds a doctoral degree from Aalto University (2008), and is an Adjunct Professor of Data Science at University of Helsinki, Department of Computer Science.
Laura Ruotsalainen
Laura Ruotsalainen is an Associate Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science at the University of Helsinki.
Her current research interests include the development of computer vision, estimation and machine learning algorithms for creating and using accurate and reliable spatiotemporal data, namely navigation data, especially for the development of autonomous systems enabling sustainable smart cities. For years, she has been teaching courses and supervising research on navigation at the Aalto University and the University of Helsinki and more recently also a course on Computer Vision at the University of Helsinki.
Arno Solin
Dr. Arno Solin is an Associate Professor in Machine Learning and Academy of Finland Research Fellow at the Department of Computer Science at Aalto University.
Solin is also an ELLIS Scholar and holds an Adjunct Professorship (Title of Docent) at Tampere University, serves as a member of the Young Academy Finland, and is the coordinating professor of the ‘Next-generation Data-efficient Deep Learning’ program of the Finnish Center of Artificial Intelligence (FCAI). His research interests are data-efficient machine learning, especially in probabilistic methods for real-time inference and sensor fusion.
At Aalto, Dr. Solin leads a research group in machine learning. He is an Editorial Board Reviewer for JMLR and an Area Chair for NeurIPS, ICML, ICLR, and AISTATS. He gave a tutorial on Machine Learning with Signal Processing at ICML 2020. He is a winner of the ISIF 2018 Jean-Pierre Le Cadre Best Paper Award, and he won the MLSP 2014 Schizophrenia Classification Challenge on Kaggle. He is also a co-founder of Spectacular AI, a sensor fusion and spatial AI start-up.
Previously, Dr. Solin was a team lead in industry (2015–2017) and held an Academy of Finland post-doctoral fellowship (2017–2020). He has also held visiting researcher positions in Prof. Neil Lawrence's group at the University of Sheffield (2013), the Computational and Biological Learning Lab (CBL) at the University of Cambridge (2017–2018), and Prof. Thomas Schön's group at Uppsala University (2019). He co-authored the book Applied Stochastic Differential Equations, published by Cambridge University Press.
Program Fee and Registration
Other Data, Analytics, and AI for Professionals (DAAP) Modules
You can register for individual stand-alone Data, Analytics, and AI for Professionals modules or take the complete Data, Analytics, and AI for Professionals program, including all four modules.