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About the course
Introduction to Digital Transformation Technologies online course introduces four hyped technologies which are driving digital transformation: Artificial intelligence, virtual and augmented reality, blockchain and software robotics. Covered topics include e.g. neural networks, computer vision, smart contracts and different AR and VR applications. After the course you know what these technologies are, where they came from and what is to be expected in the future.
The course contains five online modules and it takes approximately one day to complete. The online modules consist efficient video lectures, which cover the technologies from different perspectives, additional study materials and company interviews.
With the organizational license you can freely distribute the content inside your organization. The video lectures can also be embedded in most common learning management systems.
Introduction to Digital Transformation Technologies online course introduces you to artificial intelligence, virtual and augmented reality, blockchain and software robotics. After the course you know what these technologies are and understand their potential impact.
Who should attend
The course is suitable for people who need to understand digital technologies and their impact.
Trust the experts
Leading a research group which focuses on new machine learning methods for speech recognition, retrieval and translation. BACKGROUND MSc and PhD at Aalto (Helsinki University of Technology), Post-doc 1998-2000 at IDIAP, Switzerland. Peer-reviewed scientific articlesJournal article-refereed, Or...
Peer-reviewed scientific articlesJournal article-refereed, Original researchSequential Monte Carlo Instant RadiosityHedman, Peter; Karras, Tero; Lehtinen, Jaakko2017 in IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (IEEE Computer Society)ISSN: 1077-2626Reflectance modeling by neural te...
Working as a professor of practice in information systems. Director for the Real-Time Economy Competence Center (www.rte.fi). Chairman of XBRL Finland (www.xbrl.fi). Peer-reviewed scientific articlesJournal article-refereed, Original researchExploring the dynamic capabilities required for servit...
Aalto University School of Business, Helsinki Professor, 2007 – Innovation Management Department of International Business and Management Board Memberships: TEKES, The Finnish Technology and Innovation Agency, 2011 – SCANCOR, the Scandinavian Consortium on Organizational Research, Stanford Un...
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 collaborat...
Janne M. Korhonen (MSc (Tech), PhD) is a researcher and an author, who researches qualities, possibilities and limitations of different technologies in modern society. Currently, he is working at Aalto University in the Recon project, which studies applications of blockchain technology. Prior to...
Arto Klami is Assistant Professor of Computer Science and Academy Research Fellow at University of Helsinki, where he leads the Multi-Source Probabilistic Inference research group. He is also member of Helsinki Institute for Information Technology HIIT and Finnish Center for Artificial Intelligen...
Riitta Bekkhus holds a PhD in Information Systems Science from Aalto University, School of Business. In her thesis she studied software robotic implementations and created a step-by-step digital business transformation program for traditional companies to follow. Riitta has over 20 years work ex...
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 in machine learning and computer vision,...