What I learned this week …came from an article in The New York Times by Alex Wright. The article, Mining the Web for Feelings not Facts, was a great look into a concept that is new to me, an emerging field called “sentiment analysis.” The article defines sentiment analysis as “translating the vagaries of human emotion into hard data.” The examples show companies using data analysis techniques to gain insight into what social media (such as social networks and blogs) are saying about their company. My thoughts immediately turned to the value this information would have to product developers to understand how customers feel about their products, and what a great tool this could be in the social computing toolkit for PLM.
Engineering
Social Computing Drives Innovation
What I learned this week …came from a side conversation during some research I am working on in the innovation systems ecosystem. I was discussing the importance of different solutions in the space with this major electronic manufacturer, and he started to get very passionate when he turned the conversation to Web 2.0 and how it can improve innovation. With the work I have been doing on social computing in PLM, we ended up having a fascinating conversation about the potentials. It’s always nice when you see confirmation of a trend from an unexpected source.
Is the PLM Ecosystem Ready for PLM? Razorleaf Is
I had the chance to talk with … Razorleaf during a research project earlier this year. Razorleaf helps manufacturers leverage PLM, Design Automation, and other enterprise technologies to improve product development and engineering processes. During the conversation, it was clear that they really understand how enterprise technology can be applied in an engineering environment. They are ready to step in and deliver the enterprise services required to implement PLM. But how much of the “PLM” ecosystem is really ready and capable to implement PLM? In my experience, too few.
What can PLM Learn from Social Computing on TV?
What I learned this week … was sparked by a small article by Jennifer LeClaire at newsfactor.com. The article was short and sweet, and announced that Verizon Adds Social Networking To FiOS TV Service. So other than the fact that I like FIOS and this points to further consolidation between TV and multi-media computing (which I think is both cool and invetible), why did I care? It reminded me that social computing is a capability, and that how you apply it – and in what context – can turn it into something very unique. That is what Verizon is starting to do with their TV service, and exactly what the PLM community needs to do with social computing in product development.
What I Learned: Socially Developed Engineering and Product Documentation?
What I learned this week … came from two recent conversations with manufacturers about their use of social computing to support product innovation, product development, and engineering. I am exploring how companies are using these technologies to improve design and product development collaboration, but also trying to uncover ways they are going beyond collaboration on a specific product or design. Two of my recent conversations touched on the use of wikis and blogs to present information. To be more accurate, these manufacturers are using wikis and blogs to both collect and communicate engineering and product knowledge. Pretty interesting stuff, I think.
What I Learned: Flogging the “Facebook for Product Development” Horse
What I learned this week… is that it is really fun to pick on Facebook because it doesn’t have the capabilities to support product innovation, product development, and engineering. Of course, it was never intended to and that is probably not a market that they are really very interested in. But it is fun, and also helps to bring home some of the requirements that are important for social computing in PLM. This post started as a reply to Stan’s comment on my “not building an airplane on Facebook post,” and I realized after about 17 pages of comments that maybe I had better turn it into a blog post. Thank you Stan for bringing up a lot of very good questions.
