Machine Learning School from a Business Perspective

Machine Learning School

For Business Schools


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 brings 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.

This online conference is 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 covers 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. 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.

Comment about the Machine Learning School using #BigMLSchool

Video Recordings


Andrés González

CTO & Cofounder at and Associate Professor at EOI Business School

Andrés González is a Telecommunication Engineer and CTO at, 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.

Arturo Moreno

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

Board Director at Arowana and Faculty at Northeastern 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.

Enrique Dans, Ph.D.

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,, since 2003, also in English on Medium, and regularly in general and economic press, such as his column on Forbes.

Jan W. Veldsink

Master in the Art of AI at Nyenrode, Rabobank, and Grio

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

Ph.D. Student at Prague University of Economics and Business (VSE) and Data Scientist at Vodafone.

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.

Marc Torrens, Ph.D.

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.

Mercè Martín Prats, Ph.D.

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.

Nigel L. Williams, Ph.D.

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 (

Tomáš Kliegr, Ph.D.

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.

Schedule of Lectures

Online sessions between 9:00 and 18:00 CET during February 17, 2021.

Meet the Lecturers

Registered users will receive an email from with links for every Google Hangouts session.

09:00 - 09:10
Opening Remarks
by MªJesús Alonso (BigML)
09:10 - 10:00
Introduction to Machine Learning: ML platforms and AutoML in the Enterprise
by Ed Fernández (Northeastern University) Slides
10:00 - 10:40
Machine Learning: Horizontal or Vertical?
by Enrique Dans (IE Business School) Slides
10:40 - 11:15
Tourists Nationality Prediction: Helping the Hotel Sector Better Plan Ahead
by Andrés González (EOI Business School) Slides
11:15 - 11:30
11:30 - 12:10
Fraud Detection: Automating KYC
12:10 - 12:45
Customer Segmentation: Understanding Your Customers to Better Develop Personalized Relationships
by Arturo Moreno (ICADE Business School) Slides
12:45 - 13:30
Lunch Break
13:30 - 14:10
Text Analysis: Discovering Insights for the Healthcare Industry and the Czech Business Landscape
14:10 - 14:50
Dealing with Text: How to Automatically Summarize Academic Literature
by Nigel Williams (University of Portsmouth) Slides
14:50 - 15:30
10 Lessons Business Students Need to Know
by Marc Torrens (ESADE Business School) Slides
15:30 - 16:00
Teaching Machine Learning in Business Schools
Panel with the lecturers
16:00 - 16:30
Q&A and Break
16:30 - 17:00
Situational Ethics: Trustworthy AI
17:00 - 17:55
My First End-to-End Machine Learning Project
by Mercè Martín (BigML) Slides Dataset
17:55 - 18:00
Closing Remarks
by MªJesús Alonso (BigML)

Organized by:


In collaboration with:

Northeastern University Berkeley Sutardja Center for Entrepreneurship and Technology IE Business School Nyenrode Business University ESADE Business & Law School University of Portsmouth EOI - Escuela de Organizacion Industrial Prague University of Economics and Business (VŠE) ICADE Business School

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