TRACK Workshop: Managing Emerging Technologies

Event Type
Workshop
Location
Online
Date/Time

Process Improvement, Organizational Vision, Knowledge Management, Strategic Planning

New technologies are disrupting industry after industry and are doing so at an increasing pace. No manager can understand deeply every emerging technology, but R&D managers need to be able to make decisions about what technologies to invest in, track those investments, and effectively communicate their importance to business leaders.

This workshop is designed to enable managers to intelligently manage emerging technologies important to their businesses. It will include a discussion of the two sides of the challenge (technology readiness and market opportunity); tools that can be used to track the status of development; methods for projecting the timing of new capabilities; customer-centered approaches to identifying compelling new markets for emerging technologies; and practical approaches to building enough understanding to make intelligent investments.

Outline:

  • The importance of managing emerging technologies
  • Technology management as a two-sided problem
  • Assessing the viability of an emerging technology
  • Predicting the timing of an emerging technology
  • Identifying markets for emerging technologies
  • Common challenges in the management of emerging technologies

The session will include break-out exercises to work with the tools and techniques to improve participant understanding and also to build connections among the participants.

Who should attend:

The workshop is designed for those in innovation functions or within businesses who have responsibility for developing and bringing to market new technologies and new business concepts that leverage the technologies.  It is useful both for practitioners and for those who manage the innovation or technology development function. The course covers a broad range of business issues and can be viewed as a building block for a participant’s professional advancement. 

Registration Fees: 

IRI Members: $295

Non Members: $395 

Due to limited seating, we request that you cancel at least 48 hours before a scheduled class. This gives us the opportunity to fill the class. However, if you do not cancel prior to the 48 hours, you will lose the payment for the class.


All IRI events are broadcast in Eastern Standard Time

Jiim Euchner

Jim Euchner

Partner

Outside Consulting, LLC

Jim Euchner is Honorary Professor at Aston Business School (UK) and Editor in Chief of Research-Technology Management, a peer-reviewed journal for practitioners of innovation, technology and research management. He was previously Vice President of Global Innovation at Goodyear Tire & Rubber Company, where he led the development of new businesses and helped launch five businesses on three continents.  Prior to his work at Goodyear, Jim held positions as Vice President of Growth Strategy and Innovation at Pitney Bowes, Inc. and Vice President, Network Systems Advanced Technology at Bell Atlantic (now Verizon). Jim has worked in the field of intelligent systems for over 25 years. In his consulting practice, he helps companies to implement businesses enabled by emerging technologies, including AI, the Internet of Things (IoT), automation, and predictive analytics. He helps companies to move quickly and in a disciplined way from concept to cash.  Areas of focus include the use of lean startup approaches in large organizations, business model innovation, and the challenges manufacturers confront in moving to services-led business models. Jim is a member of the Scientific Advisory Council for the Nissan Autonomous Vehicle program and industry co-chair of the Aston Advanced Services Partnership. He is also a co-founder of the MIT Innovation Laboratory, a consortium to nurture innovation in organizations. Jim has published and spoken extensively on innovation and technology management. His google scholar page can be found at http://tinyurl.com/google-scholar-JimEuchner. Jim received his Bachelor of Science degree from Cornell University in mechanical and aerospace engineering and his Master of Science degree from Princeton University, where he was a Guggenheim Fellow.  He also holds an MBA from Southern Methodist University. He has received several awards for his work in AI, including two selections as Innovative Applications of AI, the Carnegie Mellon University/AMS Award for Managing Information Systems, and the Franz Edelman Award (finalist).

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