The Practice of Data Science 

In challenging the participants to think out of the box, the pedagogical program of the BAI Summer School this July will focus on workshops and case studies drawn from Health Analytics, Smart Cities, and Logistics.


Our 2019 BAI Summer School this July 1-10 in Bayonne, France will focus on the Practice of Data Science. Upper class and graduate students, as will as working professionals, will explore the fundamental knowledge and the critical skills in applying data science to solve real-world business challenges.  Participants will be encouraged not only to crunch the data, but to explore how the practice of data science influences organizations( view their markets, their customers, and the value of their human and physical assets.  This summer’s international faculty will be composed of Profs. Sieber, Cielen, Stockinger, and Schlenker, as well as practitioners from industry leaders in these fields. 

Dr. Lee Schlenker, Professor of Business Analytics and Princpal at the BAI,  will lead our discussion on the “Road to Artificial Intelligence”. After reviewing the fundamentals of digital economics, the participants will trace the evolution of Data Science from traditional machine learning to the dawn of limited and general artificial intelligence. Using the concepts of AI First and the AI Continuum, Prof. Schlenker will highlight the needs to machine human and machine intelligence in leveraging data science in business. In reviewing examples from Health Analytics and Smart Cities, the participants will explore the framework of BAI’s AI Roadmap.  His practicum with Azure Machine Learning will explore how current data sciences practices can support breast tumor detection.

Marcel Sieber, Senior Research Associate at the ZHAW’s School of Management and Law, will facilitate his seminar around “Working with Smart Citizens”.  His discussion will begin with the current vision and the practice of Smart Cities. His analysis will explore how sentiment analysis can contribute to our understanding of “Smart Citizens”. Using examples from the US, Europe and Dubai, the participants will discuss the potential of leveraging the Cognitive Sciences in building the future of Smart Communities.  The current practices of micro-targeting will be debated to help the participants understand the opportunities and the challenges of Data Science in this area. Finally, Marcel will propose a practicum on predicting voter behavior using the Azure Machine Learning platform.

Overview of BAI's Summer School Courses 

Prof. Davy Cielen, Coordinator of Brussels Airport Analytics Team, and a principal in BAI, will address the question of the “Place of Process Mining in Data Science”.  He will begin his conference with an analysis of the pertinence and limits of business process modeling. Using case studies from the transportation and logistics sectors, participants will review the current practices of process mining in process discovery, design and evaluation.  Prof. Cielen will focus on the example of the airport industry to highlight current technical and operational challenges in using process mining in multi-stakeholder organizations that operate as Complex Adaptive Systems.  His workshop will lead challenge the participants to optimize airport baggage handing using ProM.

Prof. Dr. Kurt Stockinger, professor of computer science and director of studies in data science at ZHAW’s School of Engineering, will help the students understand the opportunities of “Working with Big Data”. After introducing the content and the challenges of Big Data methodologies, Dr. Stockinger will explore the processing of both structured data sets with Spark Data Frames and unstructured data with Spark Resilient Distributed Data Sets.  Using examples and experiments, participants will gain knowledge and practice of Scalable Machine Learning techniques. Finally, using open data from the cities of San Francisco and London, the participants will be challenged to improve scenarios of emergency alarm verification.  

The 2019 BAI Summer School Video
We have planned to punctuate the pedagogical program with testimony and analysis from world leading organizations in their respective fields. Dr. Thomas Colin, VP of Sophia Genetics will present his organization’s revolutionary work in radiomics in predicting tumor evolution. The Data Science team from Smart Dubai has been asked to illustrate their projects in building a 21rst century data infrastructure for the emirate.  The Data Science team from Lufthansa Systems will provide examples of their work in leveraging data science in the airline industry. François Applagnat from Aquitaine’s Regional Chamber of Commece will join the discussion on the opportunities and challenges of leveraging data science for Smart Transportation. As other testimonials are currently being confirmed, we will publish an update on the program in an upcoming issue. 


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In this issue :

Find that Panda

Seeing the Random Forest...

Let's explore how Random Forest is used in machine learning, as well as its basic assumptions and use scenarios


The BAI Spring Session

BAI Community News

In brief, the recent projects, conferences, bootcamps and publicatons of the BAI Data Science Community

The Business Analytics Institute

The  Practice of Data Science

In challenging the participants to think out of the box, the pedagogical program of tthe BAI Summer School will focus on workshops and case studies drawn from Health Analytics, Smart Cities, and Logistics.

 The Ambassador Program

Analytics in Action

BAI faculty facilitated a key module again this year in SDMIMD’s Analytics Track, Analytics in Action, in Mysore, India. 

The Paradox of Trust

Partner Interview - Sergi Sergiev

Sergi Sergiev is the Head of the Data Science Society and  founder of ShopUp, which specializes in IoT customer analytics in the retail sector.


 Airport Excellence

Trust by Design

The motor of the next industrial revolution won't be data, but trust...


This Newsletter has been created specifically for the BAI community to foster conversation around the use of analytics in improving business decision-making. 

Interested in our February Newsletter? It can be found here