IRI Workshop: Advanced Services for Manufacturers

Event Type
11 am - 2:30 pm

Digital Innovation, Technology Roadmapping, Tools and Techniques

Product businesses are increasingly being commoditized. Value is, in many cases, flowing into services. These trends are being accelerated by the Internet of Things and predictive analytics, enablers of advanced services business models. The key questions companies face are: 

  • Can advanced services provide differentiation in my industry?
  • What is the path to implementing advanced services?
  • What is the role of smart, connected devices in this transition?
  • How can we bridge the transition from a product to a services-led business model? 

This workshop will provide concepts, models, and frameworks for assessing advanced services (servitization) as a growth strategy. It will focus on real-world challenges and provide concrete examples of industrial companies that have introduced services-led business models. 

This workshop is offered in conjunction with Aston Business School. It is based on over a decade of research at Aston University on advanced services business models. The course will introduce proven frameworks for thinking through the most critical issues associated with advanced services. It will employ interactive exercises to help participants think through the strategic and tactical issues for their corporations.

Who should attend:

The workshop is designed for those in manufacturing firms responsible for differentiating the business and bringing new business models to market.  It is helpful for practitioners and those in leadership functions interested in countering commoditization. This course covers a broad range of business issues and can be viewed as a springboard to the 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 allows us to fill the class. However, if you do not cancel before the 48 hours, you will lose the payment for the class.

All IRI events are broadcast in Eastern Standard Time.

Jiim Euchner

Jim Euchner


Outside Insight Consulting, LLC

Jim Euchner is Visiting 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 four 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 industry co-chair of the Aston Advanced Services Partnership and past member of the Scientific Advisory Council for the Nissan Autonomous Vehicle program. 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    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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