ALP in Munich with Prof. Sampsa Samila Jan. 20,2020
AI for Business Transformation
You are cordially invited to join us!
Artificial intelligence (AI) is quickly spreading across the economy and having a profound effect on almost every sector and company. In this session, we will focus on understanding how to work with AI and compete with AI. We will cover frameworks on how to find, plan, and implement AI applications and how to think about the transformation of your entire business.
Sampsa Samila received his PhD from Columbia University (New York, NY, USA) in Mathematics and his MSc from Helsinki University of Technology (Espoo, Finland; now part of Aalto University) in Mathematics and Economics. He has taught previously at Columbia Business School, Brock University (St Catharines, ON, Canada), and the National University of Singapore.
At IESE, Sampsa teaches artificial intelligence, innovation strategy, and competitive strategy in a range of programs from MBA and EMBA to senior executives. He is particularly focused on how new technologies like AI enable new business models, the challenges of organizing to develop the capabilities and deliver the value, and how to change the mindset of executives to understand the changes brought by these new developments. As the Academic Director, he designs and leads the Artificial Intelligence for Executives open enrollment program for senior executives. He has written a number of cases on Scribendi, Siemens, Uber, Amazon, and others. He is currently writing cases on AI business transformation in different industries. Sampsa also speaks extensively on AI and advices companies.
Sampsa?s research focuses primarily on artificial intelligence, innovation, entrepreneurship, and strategy. His most recent working paper tracks the dramatic increase in the demand for AI skills in the labor market and he is currently engaged in studying the causes and consequences of AI adoption in firms. His other projects include gender and ethnic integration in innovation as well as trust and social networks. His prior work has studied for instance how success persists in venture capital, how venture capital generates innovation and economic growth, and how networks shape the path of commercial development. His work has been published in highly-respected journals such as American Sociological Review, Management Science, Research Policy, and Review of Economics and Statistics. His work has been discussed in Institutional Investor, Slate, Huffington Post, The Atlantic, Harvard Business Review, IESE Insight, and elsewhere.