I had the chance to talk with … Jim Todhunter and the team at Invention Machine about the new product release they announced today. There are lot of things that I like in the release designed to help further Invention Machine’s ability to operationalize innovation. But what really struck me was the goal of this release to improve “Every Day Innovation” in a procedural, sustainable way.
Tech-Clarity Insight: Innovating Through an Economic Downturn – A PLM Action Plan for Small to Mid-Size Manufacturers Facing Difficult Times describes how manufacturers can weather the current, global economic downturn. This paper is intended to help manufacturers develop a strategy to make it through tough times and come out ready to take advantage of the
What I learned this week … was sparked by some recent social networking announcements on people tagging. The most recent was that Facebook plans to offer tagging very similar to what Twitter offers. This follows other announcements around geo-tagging, but I am really most interested in how tagging people can help in product development (and overall in product innovation).
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.
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.
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.