How are social computing technologies like blogs, wikis, portals, social media sites, idea management sites, communities, and others helping companies develop better products? How has it changed over the last several years our industry has learned more? We would like to hear from you, so please take 5-10 minutes to fill out a quick survey.
Going Social with Product Development: Improving Product Development Performance with Social Computing explores how manufacturers are taking advantage of social computing and “Web 2.0” technologies to raise the bar on product development performance. Provides examples of how the concepts behind social networking are being applied in to help new product development (NPD) teams boost performance
Social Technologies Define a New Era in Product Development – A brief presentation on how social computing is changing the way companies develop products. Feel free to watch video on the PTC website by clicking the title above, no registration is required.
I would like to give you a quick peek into some blog posts by Evan Yares on social product innovation that I think are worth sharing, and that bring up a good question. Where will social solutions for engineering and product development actually come from? For those of you that know me, I have been
I had the chance to talk with PTC and their customers at last week’s PTCuser user conference. PTC has been busy, making a number of significant announcements.
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.