Cognitive analytics: practitioner perspectives (RSM lecture)

April 29, 2015


Data Science

With a number of recent Hollywood films representing intelligent machines as either hero or villain, the subject of Artificial Intelligence (AI) has attracted the imagination of the media and popular culture. On the practical engineering side, over the past decade humanity’s age-old dream of developing intelligent machines has experienced rapid development.  The prospect of expert systems being increasingly able to outperform humans in a growing set of disciplines has led to deep soul-searching concerning the evolving future of labor.  Meanwhile, cognitive computing platforms such as IBM’s Watson are demonstrating a powerful ability to support and guide humans in complex activities as diverse as oncology diagnostics, investment management, biomedical research, and even the introduction of novel culinary recipes as Chef Watson.

Data Science

As a guest lecturer at the Erasmus Rotterdam School of Management (RSM), Scott Mongeau, Analytics Manager at Deloitte Netherlands, presents to Master of Business Information Management (BIM) students on the topic of cognitive analytics.  Supporting a course on ‘Big Data and Business Analytics’, this presentation examines and demonstrates several core technologies supporting cognitive computing, including machine learning, text mining, and  data analytics.  Both broad and deep, the presentation moves quickly from the historical and hypothetical of AI to the hands-on aspects of advanced data analytics solutions.  The result is a unified introduction to cognitive analytics as a hybrid of several disparate disciplines, methods, and practical technologies.

Lecture overview:

Full lecture:

Deloitte landing page:

After laying a broad conceptual foundation, this presentation examines the core components underlying cognitive analytics and offers hands-on demonstrations of supporting tools in action, including R, SAS Enterprise Miner, SAS Text Miner, and Watson Explorer.  The underlying methods and technologies examined include artificial intelligence, data analytics, machine learning, text mining, and semantic analytics.  This presentation will be of interest both to business leaders and students alike who are seeking a solid introduction to the emerging topic of cognitive analytics.


In addition to Deloitte Netherlands, I would like to thank Dr. A. G. de Carvalho and Dr. J. van Dalen of the Erasmus Rotterdam School of Management (RSM) and the students of the RSM Master of Business Information Management (BIM) program for their kind invitation to present and for their support in making this lecture possible. 

Cognitive Bias

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About SARK7

Scott Allen Mongeau (@SARK7), an INFORMS Certified Analytics Professional (CAP), is a researcher, lecturer, and consulting Data Scientist. Scott has over 30 years of project-focused experience in data analytics across a range of industries, including IT, biotech, pharma, materials, insurance, law enforcement, financial services, and start-ups. Scott is a part-time lecturer and PhD (abd) researcher at Nyenrode Business University on the topic of data science. He holds a Global Executive MBA (OneMBA) and Masters in Financial Management from Erasmus Rotterdam School of Management (RSM). He has a Certificate in Finance from University of California at Berkeley Extension, a MA in Communication from the University of Texas at Austin, and a Graduate Degree (GD) in Applied Information Systems Management from the Royal Melbourne Institute of Technology (RMIT). He holds a BPhil from Miami University of Ohio. Having lived and worked in a number of countries, Scott is a dual American and Dutch citizen. He may be contacted at: LinkedIn: Twitter: @sark7 Blog: Web: All posts are copyright © 2020 SARK7 All external materials utilized imply no ownership rights and are presented purely for educational purposes.

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3 Comments on “Cognitive analytics: practitioner perspectives (RSM lecture)”

  1. SARK7 Says:

    A number of the students asked questions about how to “avoid training for a job that will be disintermediated by an expert system / AI”. Here is a good recent WSJ article on this topic by the Godfather of data analytics, Tom Davenport:



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