UC Berkerly

The speech on how to thrive in a rabid collaboration, highlighted several key points to achieve success in rabid collaboration. The first main point was being network rich. To be network rich from the speakers point of view is to learn how to collaborate in such a way that it builds your network base. Having your network base full of high quality knowledge that your network is valuable to what you do as far as decision making, planning, or idea generating. The second point was collaborating and knowledge sharing in such a way that it keeps you on the edge of success by leveraging your position within your given industry against your competitors, and it because, of the trust that is built during collaboration within your network. Both speakers ended with the point of cloud services, and how cloud services will be our life point of achieving the benefits of knowledge sharing. Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in R&D, training new personnel, or purchasing new software. Cloud computing encompasses all the benefits of being network rich, but offering the know how to thrive in a rabid collaboration effort.

Health Care Neural network application in Clinical diagnosis

During my research for a neural network I wanted to find out how neural networks are being used in the medical industry. There's a company named Open Clinical that produces knowledge management software for the health care industry. Open Clinical is producing a neural network called "Papnet". Papnet is a commercial neural network-based computer program for assisted screening of Pap (cervical) smears. Traditionally, Pap smear testing relies on the human eye to look for abnormal cells under a microscope. A Pap smear test examines cells taken from the uterine cervix for signs of precancerous or cancerous changes. Detected early, cervical cancer has an almost 100% chance of cure, but come to find out a pap smear is the only large scale medical laboratory test that is not automated. A patient with serious conditions can have fewer than a dozen abnormal cells among the 30,000 - 50,000 normal cells on her Pap smear, and it is very difficult to detect all cases since there is no automation. Imagine proof-reading of these pap smears is mostly done by the human eye. With no automation, things as small as spelling errors can really cause days of delays making hard to depend solely 100% on humans to read the test. Margret Sordo from Harvard University explains, the best laboratories can miss from 10% - 30% abnormal cases (Sordo, M. 1995 pg 9). Papnet-assisted reviews of cervical smears result in a more accurate screening process than the current practice, and quicker detection of precancerous and cancerous cells in the cervix. I really feel that more neural networks should be in the medical industry, so that more lives are saved most of all, and that it would allow for better efficiency since your neural network can now handle what humans are asked to do with pap smear.

Margin of Difference

I feel that the video offers a great way of teaching a person, a group, and organizations to fully maximize its own potential.To understand how to give more, push harder, and go over and beyond you own capabilities is some what challenging. Because we as humans have to be inspired in a way that takes us past that point of just being good, or even great. I really believe the method in the video can get people to be inspired. The benefits of social networks allows people to collaborate which gets communication moving, which starts driving ideas. Then as  these social networks grow, you or your company gains social capital. Then the process turns into learning the benefits of conservation, which allows us to expand our margin of difference, because human thinking should never stop, because its what drives ideas, and its ideas that's going to make you different from the rest. Conservation then builds the skills needed to understand how to engage with others on all levels, which will drive new opportunities in the form of maybe customers, expanding on your current ideas, or even new collaboration within your existing social network. When people do these things, it opens up our individual thinking, and allows us to be inspired because your personally invested. Once a person, a group, or organization gets inspired, then the endless amount of possibilities are for the taking. To be better than just good, or getting past than just doing enough has to come from you thinking on how, and to turn the how into action takes us understanding these methods, and that will be your margin of difference.