Over the two and a half days of AMS, attendees have heard that additive manufacturing is part of a broader advanced manufacturing value chain, which is both complex and rapidly growing. With tremendous opportunities to invest in the industry, how does one make informed decisions without getting caught up in the hype cycle?
During this final, interactive AMS session, experts from The Barnes Global Advisors (TBGA) will provide a baseline approach to communicating the value of AM. Using TBGA’s industry-leading tools, investors and those seeking investments will learn how to assess the value of a company and its technology. From the Simplified View of AM to the TBGA AM Maturity Model, TBGA ADDvisors® will show how to assess where a company fits in the value chain and how growth-oriented and viable it is for future investment.
Participants will receive a quick reference guide with key questions and information to guide future conversations as well as a digital badge indicating completion of The Barnes Global Advisors Economics of Additive training.
Who should attend: Professionals making investment decisions in advanced and additive manufacturing who seek to increase their understanding of AM technology, markets, and value to inform investment decisions. AM Business leaders who want to know how best to frame conversations with investors from a technology, market, and value standpoint.
*Full AMS registrants receive automatic access to this workshop. You can also opt to register for the workshop only by selecting the appropriate choice on the AMS registration page.
AMS will return to NYC on Feb 4-6, 2025. Early bird registration will open soon. Click here to join the mailing list.
AMS will return to NYC on Feb 4-6, 2025. Early bird registration will open soon. Click here to join the mailing list.
Dr. Katharina Eissing is a quantum physicist and CTO & Co-Founder of 1000 Kelvin GmbH. She obtained her Ph.D at RWTH in Aachen and her Masters in theoretical physics at LMU in Munich. She previously worked as a senior research scientist at Siemens Corporate Technology in Berlin where she developed novel approaches and methods to build efficient digital twin technologies. After, she joined ETH university in Zurich as a Chief Engineer in charge of setting up a research group of Prof. Bambach focusing on the application of ML to advanced manufacturing. She has authored multiple research publications and holds multiple inventions.
