Forecasting Digital Transformation: Tools and Methods

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More and more, the economic value of products and services is shifting from physical objects to data and software—from atoms to bits. This is the Digital Transformation. It has already re-shaped markets, and its impact will only increase over the coming decades. Prepare your company and your career for the new environment. Understand how economics and technology innovation interact to upend markets and change the shapes of organizations and industries. See how technology ecosystems evolve, and how data from an increasingly digital world becomes knowledge…and how knowledge becomes market advantage.

  • Module 1: From Forecasts to Anticipations: Basic Concepts for Looking Ahead
  • Module 2: Using Megatrends to Anticipate Coming Opportunity
  • Module 3: Using Explorations to Prepare for Multiple Possible Futures
  • Module 4: Six Methods for Studying the Future


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Roberto Saracco

Dr. Roberto Saracco is a senior member of IEEE, Co-chair of IEEE Digital Reality Initiative, and leader of the Future Directions Committee’s Industry Advisory Board. He is a distinguished lecturer at IEEE as well as being a lecturer at the University of Trento. He is the former president of the European Institute of Technology’s Information and Communications Technology program, recently renamed EIT Digital, which is EU’s “leading European digital innovation and entrepreneurial education organization driving Europe's digital transformation.” He is a prominent proponent of digital transformation and speaks often on the Internet of Things, wearable technology, the development of “digital twins,” and other leading-edge topics in technology, innovation, entrepreneurship, and society. He authored more than 200 papers and 14 books on these matters in addition to publishing the IEEE Future Directions Blog daily.

Publication Year: 2020

ISBN: 978-1-7281-7759-5

Forecasting Digital Transformation: Tools and Methods
  • Course Provider: Educational Activities
  • Course Number: EDP602
  • Duration (Hours): 1
  • Credits: 0.3 CEU/ 3 PDH