Berkeley Executive Institute Course 2023

Evergreen Lectures

Digital Disruption and Sustainability in Natural Resources

This year's Evergreen Lectures Berkeley Executive Institute Course 2023 will provide insights into data science and digital transformation with a special focus on the timber industry.

Leading with Big Data and Analytics

The program will combine theoretical with interactive parts and interesting input sessions from additional guest speakers. 


The benefit for you as participant?

Participants gain insights into how companies and organisations prepare data and use information collected to further strengthen market positions. Moreover, you have the chance of exclusive glimpses into the best practices and latest applied research of the field from top experts. 

Plus, get a free of charge Berkeley Executive Institute Certificate on top of state-of-the-art knowledge!


Gregory La Blanc – About

Evergreen Lectures present the Berkeley program with Gregory La Blanc. Gregory La Blanc is the Chair of the Berkeley-Haas Professional Faculty and a Lecturer at the Haas School, Berkeley Law School, and the Department of Electrical Engineering and Computer Science at Berkeley.

He started the Haas Data Science Initiative and heads up the Berkeley Fintech Institute. He is also the academic director of the AMENA Center for Entrepreneurship and Development and instructor in Berkeley’s VC Deal Camp and Blockchain Bootcamp. Gregory La Blanc received numerous teaching awards, including the Haas Cheit Award and teaches classes in law, innovation, strategy, technology and data. He has consulted in the areas of innovation, decision making, risk management, and strategy around the world. He has advised numerous start-ups, particularly in Fintech, Artificial Intelligence and people operations. 

His research lies at the intersection of law, innovation and the use of data in rapidly changing industries.

Impressions from Prof. Gregory La Blanc

Get Your Berkeley Executive Institute Certificate - free of charge

The Evergreen Lectures Berkeley Executive Institute Course is targeted for Austrian students, who are motivated to expand their horizon and who are specifically interested in the subject of this Berkeley course, who think outside the box and who challenge their professional environment with the expertise from other fields of research. The course is limited to a maximum of 30 participants. A distinct quantity of places is reserved for students from forestry and wood science. 


At successful completion, the course will also be credited as an English-language free subject of 2 ECTS in winter semester 2023/2024 at the University of Natural Resources and Life Sciences, Vienna.

3-Day Course, 12-14th September 2023

Modules, Session Plan, and Teaching Hours for the Evergreen Lectures Berkeley Course

Topic 1: Understanding Digital Disruption 

Topic 2: Data Science & Data Strategy

Topic 3: Digital Transformation of a Tech Incumbent 

Topic 4: The Digital Transformation Journey 

Topic 5: Managing in a World of Digital Disruption: Demystifying Data Science 

Topic 6: Digital Transformation: Technology and Sectors 

Topic 7: Taking Products to Market in a Fast Environment 

Topic 8: Digital Transformations: A Must Do 

Topic 9: Dynamic Capabilities 

Topic 10: Leading in the Digital Age 

Topic 11: Closing Session: Developing an Experimental Mindset in the Digital World 

Learning Objectives

By the completion of the course, participants will understand the following questions and be able to use their underlying concepts in their professional engagements:

  • What is data science and machine learning? How can businesses use these new tools?
  • How can business leaders make data driven decisions and create data driven organizations?
  • What are the basic techniques of data science and machine learning?
  • How to build data teams and a data culture?
  • How can companies build out data capabilities?
  • How should companies organize their data?
  • What is the role of automation in the workplace?
  • How can managers evaluate machine learning models?
  • What is digital transformation?
  • How can companies organize around APIs?
  • What does it mean to become a platform business?
  • What does it mean to be software centric?