I screw up my promise to stop blogging during my vacation. I’m in Israel these days with my family. You are probably asking what this picture of Pink Lady apple does on my blog. I made it yesterday evening in the hotel in Tel-Aviv where I’m staying. Of course, I appreciate the hotel for complimentary welcome service. At the same time, what struck me is that this apple was absolutely identical to the apple from local Costco store in Brookline, Mass I ate just before leaving home. Amazing example of global supply channels. What potentially can make apple made in USA travels all the way down to Middle East? I found hard to find the answer on this question. Is there a chance future PLM data services will be able to answer these questions? If you have an idea of explanation, speak your mind. Now, let me turn it back to a traditional top 5 post.
Many of the technologies used by PLM companies these days are outdated and came from the past 20-25 years. There is nothing wrong in these technologies. They are proven and successfully used for many applications. However, in order to achieve the next level of efficiency and embrace future of PLM, new horizons need to be explored. Data flexibility, openness and interoperability – these elements are absolutely important in the future of PLM. Options to use future data models coming from past 10 years of web experience need to be explored. Important.
The complexity of product lifecycle problems brings the need of new concepts in data modeling and data management. One of the main questions – how to break the boundary of a single database? This is a key question, in my view. It will solve the problem of logical scalability and provide a platform for future information discovery.
Big data is one of the big things PLM can use to optimize supply chain, in my view. PLM vendors need to switch gears from supply data exchange towards supply chain optimization. In order to do so, PLM vendors need to bring additional capabilities to analyze supply chain, related information. It is an important topic to for coming years.
In Designing Calm Technology, Weiser and John Seely Brown describe calm technology as “that which informs but doesn’t demand our focus or attention.” I want collaborative software to stop to behave as a noisy monster and move to state of “an invisible quite servant”. I don’t think, there is a simple recipe how to do so. PLM vendors can look for examples in consumer devices, web and mobile application behaviors and other consumer-oriented technologies and companies. I see it quite possible.
Speaking about future cloud systems, I think the keyword “optimization” is the most important one. Everybody is looking towards efficiency these days. It is equally important to small companies and large institution. In my view, larger companies will come soon to PLM providers with questions about how PLM environment can be optimized towards cloud computing. And this is just a matter of time when it happens. PLM vendors have some time for preparation. However, not too much time.