Building a Data-Enabled and AI-Ready Organization
Introduction to Digital Transformation Technologies online course introduces four hyped technologies driving digital transformation: artificial intelligence, virtual and augmented reality, blockchain, and software robotics.
Covered topics on the online course include, e.g., neural networks, computer vision, smart contracts, and different AR and VR applications. After the course, you will know what these technologies are, where they came from, and what is expected in the future.
The course contains five online modules. The online modules consist of efficient video lectures, covering the technologies from different perspectives, additional study materials, and company interviews.
With an organizational license, you can distribute the content in your organization. The video lectures can also be embedded in most common learning management systems. Don't hesitate to contact us for further discussion and we will find a suitable solution for your company.
By completing the course, you will get an Aalto EE Introduction to Digital Transformation Technologies certificate worth 0.5 ECTS.
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"I did not have much understanding about artificial intelligence nor other topics in this program, but the lecturers were very clear and interesting, telling me how they will change the game and how we need to start using these new things in our work. It opened my eyes!"
"If you are not that familiar with these topics, after this online crash course, you will be. Hear it from the scientist and the ones actually implementing these techs."
"Really good overview of the basic technologies and their technical status today and forecast of the future. Time and concentration are needed to understand some of the details. Well presented!"
The Introduction to Digital Transformation Technologies online course introduces you to artificial intelligence, virtual and augmented reality, blockchain, and software robotics. After the course, you will know what these technologies are and understand their potential impact. Important topics and terminology are clearly described, and you get a comprehensive understanding of what is being discussed worldwide.
The online course is targeted at companies seeking new effective digital ways to improve business. It also helps build a consistent expertise level within selected teams, groups, or departments.
The course is suitable for people who need to understand digital technologies and their impact. The online course is also suitable for anyone who wants to revisit and practice the basic concepts of technologies and their typical usage.
The five online modules of the course introduce artificial intelligence, augmented and virtual reality, software robotics, and blockchain. The modules consist of video lectures, additional materials, and company interviews.
The estimated study time of the course is 12 hours. The course allows flexible study patterns; you can decide on your schedule and the speed of your progress. The recommended study schedule is 2-3 hours per week for 3-4 weeks.
In this online module, Finnish industry specialists talk about Artificial Intelligence, Blockchain, Software Robotics, and Augmented and Virtual Reality.
Riitta Bekkhus holds a Ph.D. in Information Systems Science from Aalto University, School of Business.
She has over 20 years of working experience with large Nordic IT companies. In her thesis, Bekkhus studied RPA implementations and created a step-by-step digital business transformation program for traditional companies to follow. Currently, she works as a Digi-Transformation Architect and Advisor at Nordomus. Riitta Bekkhus has taught the first Finnish “chatbot whisperers” working with AI and has been active in the start-up scene.
Arto Klami is an assistant professor in Computer Science at the University of Helsinki. He belongs to the Finnish Center for Artificial Intelligence (FCAI), where he coordinates activities developing easier tools for building uncertainty-aware artificial intelligence.
Klami has been researching AI for more than 15 years, particularly probabilistic machine learning. His research group, Multi-source Probabilistic Inference, works on new machine learning models and algorithms, as well as a diverse range of applications from understanding human behavior to ultrasonic cleaning and spectral imaging.
Janne M. Korhonen
Janne M. Korhonen (MSc (Tech), PhD) is a researcher and an author who researches the qualities, possibilities, and limitations of different technologies in modern society.
Currently, he is working at Aalto University on the Recon project, which studies applications of blockchain technology. Before his research career, he was the founding partner in the design and product development services at Seos Design.
Mikko Kurimo is an associate professor at Aalto University, where he leads the automatic speech recognition group.
Kurimo has more than 20 years of experience in speech and language. He is specialized in modeling speech and language using machine learning and speech recognition to transform speech to text, assist in foreign language learning, and produce descriptions of audiovisual data. Internationally, his group is best known for their work on modeling morphologically rich languages for speech recognition.
Mikko Kytö has researched augmented reality (AR) and virtual reality (VR) with a multidisciplinary approach for over 10 years.
He received his M.Sc. from Helsinki University of Technology in 2009 and D.Sc. from Aalto University in 2014. From his research in Finland and international collaboration, he has gained a comprehensive overall image of the field of AR and VR. Especially he has researched interaction and visualization techniques for AR and VR, as well as application contexts for AR and VR, such as using AR in social interaction. Kytö has published scientific articles in the best venues in the field, for example, at ACM CHI Conference on Human Factors in Computing Systems.
Jaakko Lehtinen is an MSc (Tech) from Aalto University, School of Science.
He is an experienced business consultant and trainer in Intelligent Automation (IA), Robotic Process Automation (RPA), and Knowledge Work Automation. Lehtinen is currently working at Capgemini as Head of the Nordic Intelligent Automation Center of Excellence. He has worked with RPA since 2014 and is a true technology enthusiast.
Esko Penttinen is a Professor of Practice in Information Systems at Aalto University School of Business. He holds a Ph.D. in Information Systems Science and an M.Sc. in Economics from the Helsinki School of Economics.
Penttinen leads the Real-Time Economy Competence Center and is the co-founder and chairman of XBRL Finland. He studies the interplay between humans and machines, organizational implementation of artificial intelligence, and governance issues related to outsourcing and virtual organizing. His main practical expertise lies in the assimilation and economic implications of inter-organizational information systems, focusing on application areas such as electronic financial systems, government reporting, and electronic invoicing. Penttinen's research has appeared in leading IS outlets such as MIS Quarterly, Information Systems Journal, Journal of Information Technology, International Journal of Electronic Commerce, and Electronic Markets.
Mats Sjöberg is a Machine learning specialist at CSC - IT Center for Science, where he works with the machine learning environments on Finland's fastest supercomputers.
He holds a PhD in computer science from Aalto University. His scientific interests are machine learning and computer vision, particularly deep learning methods for understanding and describing image and video content.
Tuukka Takala is a postdoctoral researcher at Waseda University. He graduated from Aalto University, where he taught a VR course for five years.
Takala has worked full-time with augmented and virtual reality since 2007, focusing on VR software development and full-body avatars.
Liisa Välikangas is a Professor in Innovation Management at Aalto University School of Business and Hanken School of Economics.
Professor Välikangas’ areas of expertise include strategic leadership, innovation, and management, change and innovation capability, as well as the transformation of companies. Professor Välikangas has over 15 years of experience working with leading international companies.
Previously, Liisa Välikangas has worked for e.g. Stanford University, London Business School, Keio University in Japan, and IMD in Switzerland and cooperated actively with leading global companies. Currently, Dr. Välikangas’ research interests are in the field of blockchain, strategic resilience, and leadership innovation.
The Academy of Management awarded her the Best Action Research Paper prize in 2009 in Organizational Change and Development division. She regularly talks to executive audiences about innovation management, organizational resilience, and strategy development. She is the author of The Resilient Organization, How Adaptive Cultures Thrive Even When Strategy Fails, published in 2010.
Liisa holds a PhD in Business Administration from the University of Tampere.
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