February 17, 2021
Machine Learning is transforming many industries while enabling new types of products and services nobody even dreamed of until recently. However, the skill set required to develop real-life Machine Learning applications have mostly remained the playground of the few privileged academics and scientists. The world and the global workforce cannot afford to stay behind the curve on this key technology enabler, so we urgently need to produce a much larger group of ML-literate professionals such as developers, analysts, managers, and subject matter experts.
To meaningfully contribute on this matter, BigML is organizing this virtual event in collaboration with several Universities and Business Schools that have been democratizing Machine Learning in their classrooms for years, such as Northeastern University in Silicon Valley (USA), the University of Portsmouth in United Kingdom, Nyenrode Business University in The Netherlands, Prague University of Economics and Business in Czech Republic, IE Business School, ESADE Business School, ICADE Business School, and EOI Business School in Spain, among others.
We will hold a one-day online event ideal for Machine Learning professors, business professionals, industry practitioners, and advanced undergraduates that wish to enroll in an MBA course to master their data-driven business skills. This event will cover how professors bring Machine Learning into the classrooms, how to teach the next generation of business leaders what Machine Learning is, how to use it, what they can do with it to optimize their resources, and the level of maturity in Machine Learning these future business leaders need to reach to make data-driven decisions on daily basis. We invite you to join this virtual Machine Learning School and meet the professors that are changing the business landscape by helping introduce Machine Learning to a new generation of leaders that wish to automate their businesses.
Andrés González is a Telecommunication Engineer and CTO at Cleverdata.io, a startup company based in Barcelona that develops Machine Learning solutions. Additionally, Andrés is an Associate Professor at EOI Business School where he teaches how to bring Machine Learning to businesses. He is also a BigML Certified Engineer and has been applying Machine Learning in the industry and academia for the last 5 years.
Associate Professor at ICADE Business School
Arturo Moreno is a technology entrepreneur, investor, and innovative leader working on the intersection of venture capital and Machine Learning. He is working to enable a data powered experience for venture capital investors and founders that reinvigorates technology business creation. Arturo is an Associate Professor of Business Analytics at ICADE Business School, from the Comillas Pontifical University.
Ed Fernández is a Board Director at Arowana International, an assets and fund management company listed on ASX (ASX:AWN). Venture Capital - Private Equity Advisor and member of the investment committee at Alicorn Venture Fund, and Board Director at BigML Inc. Ed is also a Faculty at Northeastern University (Silicon Valley campus), lecturer at Headspring Corporate Learning (Joint Venture of Financial Times and IE Business School), and mentor at Berkeley Sutardja Center for Entrepreneurship and Technology. He is an Electrical & Electronic Engineer - GSMP post-grad at University of Chicago Booth School of Business & IE Business School - ELPP post-grad from Berkeley's University Center for Technology & Entrepreneurship.
Senior Advisor for Innovation and Digital Transformation at IE University
Enrique Dans is Professor of Innovation at IE Business School since 1990. He has a Bachelor in Science from Universidade de Santiago de Compostela, an MBA from Instituto de Empresa and a Ph.D. in Management Information Systems from UCLA. He is the author of two books, "Todo va a cambiar" ("Everything is gonna change") in 2010, and "Living in the future" in 2020. He writes daily in Spanish on his page, enriquedans.com, since 2003, also in English on Medium, and regularly in general and economic press, such as his column on Forbes.
Jan Veldsink, Master in the Art of AI. Teaching at Nyenrode Business University, Storytelling at Rabobank, and Grio. Jan is a creative energetic new thinker, trainer, and coach specialized in Artificial Intelligence and Interventions in organizations. At his work in Rabobank, he applies AI and Machine Learning within different Compliance and Fraud related topics. He is also a core teacher of the module AI and Digital Security, one of the Modular Executive MBA in the business program at Nyenrode Business University in The Netherlands. Jan worked a long time on reasoning systems and applying ML in real business contexts.
Lucie Beranová works as a data scientist in Vodafone. She graduated in Econometrics and Operations Research at the University of Economics in Prague, where she is currently studying a Ph.D. in the development of classification models, especially in text analytics. Her work focuses on companies that are involved with insolvency proceedings.
Academic Director of the M.Sc. in Business Analytics and Associate Professor at ESADE Business School
Marc Torrens received a M.Sc. degree in Computer Science from the Universitat Politècnica de Catalunya (UPC) and a Ph.D. degree from the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, in 2002. After his Ph.D., Marc co-founded two tech startups and spent 18 years developing AI systems in different domains such as travel, music, or fintech. In 2018, Marc came back to academia as an Associate Professor at ESADE Business School, and is currently the Director of the M.Sc. in Business Analytics. Marc has published more than 40 research papers and patents on AI and Recommender Systems.
VP of Insights and Applications at BigML
Mercè Martín Prats holds a Ph.D. in Physics and a Technical Engineer degree in Computer Systems. Her professional career started in a publishing company where contributed to build the first online European Encyclopedia. Part of BigML's team since 2012, she builds some of the bindings offered to integrate Machine Learning models in the current IT Systems. Her previous teaching experience ranges from Substitute Lecturer at the Physics Faculty in Barcelona to Machine Learning Schools and seminars in many international universities and institutions.
Reader in Project Management at the University of Portsmouth
Dr Nigel L. Williams, PMP is the Reader in Project Management and Research Lead in the Organizations and Systems Management Subject Group at the University of Portsmouth. His research has used secondary data from Social Media and other sources to stakeholder interactions, Electronic. Word of Mouth (eWOM) and Algorithmic Word of Mouth (aWOM). He currently co-leads the Responsible Project Management initiative (www.ResponsiblePM.com).
Associate Professor at Prague University of Economics and Business (VSE)
Tomáš Kliegr is an Associate Professor at the Department of Information and Knowledge Engineering at Prague University of Economics and Business (VŠE). Tomáš obtained a Ph.D. in Applied Informatics from VSE and a Ph.D. from the School of Electronic Engineering and Computer Science, Queen Mary University of London. He specializes in rule-based Machine Learning models, cognitive biases in Machine Learning and natural language processing for linked data. As a researcher, he contributed to more than 50 papers, including articles in leading journals such as Machine Learning or Semantic Web. Tomáš has been relying on BigML for his teaching at VŠE since 2014.
Lectures will take place online between 9:00 and 18:00 CET during February 17, 2021.
Registered users will receive an email from email@example.com with links for every Google Hangouts session.