“Demystifying Modern PLM” is a four-part online virtual event for manufacturing companies, engineers, contractors, and suppliers who work in a modern online industrial world where they need to collaborate with teams located everywhere, and they must embrace the best technology to deliver innovative products.
In this web event the co-founders of OpenBOM™, a leading SaaS digital network-based global collaborative platform, and Share PLM, a leading education technology company, will focus on sharing their knowledge and experience of developing modern PLM systems.
These four interactive sessions will cover the Technology, Product, Marketing, and Education aspects of modern product development environments, and focus on best practices that both companies have gathered through their work with customers across the globe.
We had the first webinar in this 4-series webinar event on Tuesday, October 26th, and today I want to share the recording of the event and the slide deck (if you don’t have the time to listen to the recording).
In this first session of the webinar, we discussed topics and shared our experience in technologies, data management, and product development of modern PLM systems, especially SaaS Multi-tenant systems. We outlined the differences between new, flexible tools and traditional, monolithic systems as well as provided a historical perspective on PLM architecture and data management.
Video and Slide Deck
The recording of the webinar is in the video below:
Also, please find the slide deck we used for the presentation.
Register to the following sessions of the event
It is not too late to register for the other 3 sessions of the OpenBOM/ Share PLM event. Please navigate to the following link to register.
We are excited to share our knowledge and experience in the development of modern PLM systems together with our partners and colleagues from Share PLM.
Please stay connected with us, to follow OpenBOM’s blog and social media as well as REGISTER FOR FREE to learn more about how OpenBOM can help you and your business manage its product data.