Machine Learning School in The Netherlands

July 4-6, 2022 in Breukelen, The Netherlands

Machine Learning is enabling a transformation in the software industry without precedents. New Machine Learning powered predictive applications are performing jobs that were previously considered exclusive to highly skilled humans. We are already witnessing a new wave of innovation that is changing the face of all sectors of the economy. To address this market need, BigML in collaboration with Nyenrode Business University in The Netherlands are bringing the second Dutch edition of our Machine Learning School in The Netherlands.

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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.

Keynote Speakers

Abdelghani Khaldi

Principal Program Manager Industrial IoT Solution Architecture at Mercedes Benz Cars AG

Abdel is a certified product manager and agile digital leader with extensive experience developing and implementing business solution strategies, advanced robotics solutions and data-driven platforms in manufacturing. He has 10+ years of experience in the automation field, in a leadership role within large, cross-functional and international industrial organizations. Abdel democratizes advanced analytics and machine learning in production, going from ideation to implementation and rollout. To enable that vision, Abdel led the development of the Condition Monitoring platform from inception to worldwide rollout, as a core element of the Mercedes-Benz Industrial IoT architecture.

Arnoud Engelfriet

Co-Founder at Lynn Legal

Arnoud is a Dutch IT lawyer and patent attorney, with both a legal and IT technical background. After working as a patent attorney at Royal Philips for 10 years, he switched to private practice at ICTRecht Legal Services bv. The firm successfully spun out a legal tech business called JuriBlox bv that aims to automate legal document creation and review. Its deployment of AI for document review is now a startup under the name Lynn Legal B.V.

Kevin Nagel, Ph.D.

Consultant and Data Scientist at INFORM

Kevin Nagel holds a Ph.D. in Bioinformatics. He is currently working as a Data Scientist at INFORM. Next to his fraud-fighting technical implementation projects at international banks, Kevin has also completed the BigML Certified Engineer program and is actively working on the development of the RiskShield ML platform.

Keyanoush Razavidinani

Digital Business Consultant at A1 Digital

Keyanoush does not only talk about digitization and Machine Learning, but helps customers implement those into their business. As Digital Business Consultant at A1 Digital, Keyanoush identifies opportunities within companies' business processes and bridges the gap between analog and digital. Finding the right answers requires asking the right questions, especially when implementing machine learning to elevate and create new processes.

Ramon van Ingen

Co-Founder at Siip, Entrepreneur, Researcher, and Social Bouncer

Ramon van Ingen is co-founder and CTO of Siip Group, a company that offers solutions for identification, authentication, and access challenges. Ramon has a background in applied physics and he obtained his MSc from Rijksuniversiteit Groningen in 2003. He acquired his MBA in Business and IT in 2017 at Nyenrode Business University and shortly afterwards he started his PhD research at Nyenrode on organizational purpose, which is still going on. Ramon has fulfilled several roles in the Dutch Financial Services Industry where he specialized in cyber security and cyber resilience. In 2017 he started as an independent cyberresilience consultant and acquired a wide range of customers from different sectors.

Richard Benjamins

Chief AI & Data Strategist at Telefónica

Dr. Richard Benjamins is Chief AI & Data Strategist at Telefónica. He is among the 100 most influential people in data-driven business (DataIQ 100, 2018). He is also co-founder and Vice President of the Spanish observatory for ethical and social impacts of AI (OdiseIA). He was Group Chief Data Officer at AXA (Insurance) and before that held for 10 years executive positions at Telefónica on Big Data and Analytics. He is the founder of Telefónica's Big Data for Social Good department, external expert to the EP's AI Observatory (EPAIO), member of the B2G data-sharing Expert Group of the EC, and a frequent speaker at Artificial Intelligence events. He holds a PhD in Cognitive Science, has published over 100 scientific articles, and is author of the books "The myth of the algorithm: tales and truths of artificial intelligence" (in Spanish), "A Data-Driven Company: 21 lessons for large organizations to create value from AI", and "The algorithm and me: Guide to coexistence between human and artificial beings" (in Spanish).

Rob Florijn

Rob is an experienced board member with a demonstrated history of results in cure and professional services organizations. In teams of professionals a team playing captain in General, Financial & Transformation Management, strong Organizational Development & Team Building skills. Coach pur sang for results that last. Educated at Leiden University, Royal Military Radar School, Rotterdam School of Management, Neijenrode and Kellogg's'.

Tom Dietterich, Ph.D.

Co-Founder and Chief Scientist at BigML

Thomas G. Dietterich is emeritus professor of computer science at Oregon State University. He is one of the pioneers of the field of Machine Learning. He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. In response to the media's attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, Business Insider, Microsoft Research, CNET, and The Wall Street Journal. Tom is also part of the founding team and Chief Scientist at BigML.


Álvaro Clemente

Machine Learning Engineer at BigML

Álvaro Clemente is a Machine Learning Engineer at BigML. He graduated in Telecommunications Engineering from ICAI in Madrid, Spain, where he also received a M.S. in Big Data Technologies and Advanced Analytics. He is working to help BigML customers build Predictive Applications and leverage data for making smart and automated decisions. Lately his focus has been on real time Anomaly Detection and Computer Vision.

Francisco Martin, Ph.D.

Co-Founder and CEO at BigML

Francisco is a co-founder and CEO at BigML, Inc, where he helps conceptualize, design, architect, and implement BigML's distributed Machine Learning platform since 2011. Formerly, Francisco founded and led Strands, Inc, a company that pioneered Behavior-based Recommender Systems. Previously, he founded and led Intelligent Software Components, SA (iSOCO), the first spin-off of the Spanish National Research Council (CSIC). He holds a 5-year degree in Computer Science from the Technical University of Valencia, a Ph.D. in Artificial Intelligence from the Technical University of Catalonia, and a post-doc in Machine Learning at Oregon State University. He is the holder of 20+ patents in the areas of Recommender Systems and Distributed Machine Learning.

Guillem Vidal

Machine Learning Engineer at BigML

Guillem Vidal, Machine Learning Engineer has over 15 years experience in data engineering and over 5 years in Machine Learning. In the present he leads Machine Learning projects within different industries internationally. Prior to BigML, as Data Director at Strands. Inc, he built and integrated financial solutions into dozens of banks around the world actively participating in the creation of mature software products involving high data volumes.

jao, Ph.D. (Jose A. Ortega)

Co-Founder and Chief Technology Officer at BigML

Dr. Jose Antonio Ortega Ruiz (jao) is part of the founding team of BigML. He was hacking for Oblong from 2008 to early 2011. Before that, he worked for Google from July 2007. From June 2005 to May 2007, he worked on embedded software development for the scientific payload of LISA Pathfinder. He was a theoretical physicist previously and wrote a Ph. D. thesis on gravitational wave detectors. He also got a bachelor’s degree in computer science. Between 2003 and 2005, he taught courses on programming and computer networks at the Universitat Autonoma of Barcelona, where he was part of the mobile agents research group.

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.

Pablo González

Machine Learning Engineer at BigML

Pablo is a Telecommunications Engineer specialized in Image and Sound. He is currently working as a Machine Learning Engineer at BigML where he develops some tools and features that are key for the platform evolution, such as the framework to build customer's predictive applications on top of BigML for everyone to be able to benefit from BigML's technology. Over the last years, he has led several ambitious projects in areas such as mobility and accessibility among others, in order to bring Machine Learning to new industries, some of them in very early stages of digitalization, helping organizations in this transformation process.

Schedule of Lectures

The goal of this Machine Learning School is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. All lectures will take place at Nyenrode Business Universiteit.

Day 1

Machine Learning for Executives

Monday, July 4, 2022

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 09:15 AM
Opening Remarks
09:15 AM - 10:00 AM
Adopting Machine Learning at Scale
10:00 AM - 10:30 AM
Decision Engineering in a Big Organization
by Nyenrode.
10:30 AM - 11:00 AM
Citizen Development in AI
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 12:00 PM
Machine Learning in Manufacturing: MLToolbox
by Álvaro Clemente, BigML.
12:00 PM - 12:30 PM
Process Optimization in Manufacturing Plants
12:30 PM - 01:15 PM
Lunch and Networking
01:15 PM - 02:00 PM
Machine Learning for Public Safety: Reducing Violence and Discrimination in Stadiums
02:00 PM - 02:30 PM
Coming soon
02:30 PM - 03:00 PM
Machine Learning in Legal Automation: How to Trust a Lawyerbot Juriblox
03:00 PM - 03:30 PM
Coffee Break and Networking
03:30 PM - 04:00 PM
AccuShoot: Machine Learning for Marksmanship Mastery
by Francisco Martin, BigML.
04:00 PM - 04:30 PM
Machine Learning in Health Insurance
04:30 PM - 05:15 PM
A Data-Driven Company: 21 Lessons for Large Organizations to Create Value from AI
05:15 PM - 05:30 PM
Closing Remarks
05:30 PM - 06:00 PM
Drinks and Bites with the Speakers

Day 2

Hands-on Machine Learning

With a special focus on Anomaly Detection

Tuesday, July 5, 2022

08:30 AM - 09:00 AM
Registration, Breakfast, and Networking
09:00 AM - 09:15 AM
Opening Remarks
09:15 AM - 11:00 AM
Introduction to End-to-End Machine Learning: Classification and Regression
by BigML.
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 12:30 PM
History and Present Developments in Machine Learning
by Tom Dietterich, BigML.
12:30 PM - 01:30 PM
Lunch and Networking
01:30 PM - 03:00 PM
Unsupervised Learning: Anomaly Detection
by BigML.
03:00 PM - 03:15 PM
Coffee Break and Networking
03:15 PM - 03:45 PM
Multi Perspective Anomalies
03:45 PM - 04:15 PM
Machine Learning for Fraud Detection
04:15 PM - 04:45 PM
Coming Soon
04:45 PM - 05:15 PM
Automating your Anomaly Detectors
05:15 PM - 05:45 PM
Your First Anomaly Detector
05:45 PM - 06:00 PM
Closing Remarks
06:00 PM - 06:30 PM
Drinks with the Speakers

Day 3

Working with the Masters

Wednesday, July 6, 2022

We will devote the third day of the Machine Learning School to help you solve your problems, questions, or issues you may face in your organization. As such, we will organize personalized sessions with those attendees that wish to discuss their specific cases with the leading Machine Learning experts. Attendees will be able to bring their own data.
Please send us an email to if you wish to:
  • Schedule a meeting with the experts to discuss your specific use case on day 3. The BigML Team will assign you a slot for your 1-to-1 session on day 3.
  • Register for more in-person training in The Netherlands or online training sessions to continue your learning curve after the Machine Learning School.

Attendees and Tickets

The three-day event will provide a jam-packed curriculum for different professional profiles. Feel free to choose your ticket just for one day, two days, or for the complete event.

Day 1 Machine Learning for Executives

A C-level course on Machine Learning, ideal for business leaders and senior executives in all industries. Attendees will be able to understand how Machine Learning can be adopted in any organization, focusing on the strategy to follow as well as the key points that managers should know when making decisions. Additionally, we will see several real-world success stories presented by companies that are currently applying Machine Learning techniques.

Both tickets include access to all sessions, coffee and lunch breaks, as well as drinks and bites after the executives crash course.
Day 2 Hands-On Machine Learning With a special focus on Anomaly Detection

This conference will be a one-day crash course combined with experiential learning with the Machine Learning masters to put theoretical concepts into practice in a hands-on manner. We will also see several real-world use cases focused on Anomaly Detection. This course is designed for business innovators, industry practitioners, as well as students, seeking a quick, practical, and hands-on introduction to Machine Learning to solve business problems. The content presented will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning and AI Masters.

Both tickets include access to all sessions, coffee and lunch breaks, as well as drinks after the conference.
Day 3 Working with the Masters

We will devote the third day of the Machine Learning School to help you solve your problems, questions, or issues you may face in your organization. As such, we will organize personalized sessions with those attendees that wish to discuss their specific cases with the leading Machine Learning experts. Attendees will be able to bring their own data to get advice from the Machine Learning masters.

The ticket includes access to your one-to-one session with the experts as well as coffee breaks, lunch, and water.
3 DAYS Full package
Tickets include access to all sessions, coffee and lunch breaks for the three days, drinks and bites after the executives crash course, as well as the drinks at the end of day 2.


Nyenrode Business Universiteit Straatweg 25, 3621 BG Breukelen, The Netherlands.

How to Arrive

Co-organized by:

BigML Intelligent Solutions Nyenrode Business University

Companies presenting:

AccuShoot - Digitizing Marksmanship A1 Digital Bowmen Group Inform Lynn - The lawyerbot that saves you time. Mercedes-Benz OdiseIA Rabobank Siip Group