As the world becomes even more interconnected, data (in its many forms) becomes the key to success and profit. Managing and finding the “right” data is the key.
Diagnos Inc., a Canadian data mining and artificial intelligence software extraction company, offers software and a knowledgeable workforce to locate and make use of information located within vast amounts of data. As data sources and amounts of information within data gathering systems become vaster, finding and making use of relevant data points becomes more difficult. Diagnos Inc. works to develop sophisticated software that sorts through data for information that can be used profitably. Markets that can use this type of software include: medical research, market based statistical research, pharmaceutical research and mining exploration.
The company is currently pursuing a strategic plan that sells the software in a several pronged approach; direct use with the customer including analysis, outright sale of the software, and through subscription service entailing fee/customer stock based on success rates. At the end of 2007 and beginning of 2008, the company is working with a customer using the last method of subscription/fee/stock. For this project, the company sifts data related to uranium exploration. As the software pulls relevant data, the company uses its twenty geologically trained staff members to identify data points and suggest likely locations of uranium. Other divisions within the company do the same for their areas of expertise. Currently, mining appears to be a thrust for the company although other market opportunities are being actively sought.
Positive results have led the company to a private placement, announced January 21, 2008, that will yield up to $3 million Canadian. Based on this relatively new area of study, called artificial intelligence, new software products oriented toward advanced data mining techniques are likely. As data becomes more voluminous (more than it already is) the likely need for software that helps to locate profitable bits of information will grow. From all appearances this type of data mining will see consistent growth.
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