Watson Case Study
#1 How powerful is Watson? Describe its technology. Why does it require so much powerful hardware? Watson has the ability to go far beyond responding to simple commands it has the ability to understand language, search millions of data sets within three seconds and learn from its mistakes and its successes. It has 15 terabytes of RAM, 2,880 processor cores and operates at 80 teraflops. It needs this much hardware to process thousands or algorithms that were programmed and can use these to generate hundreds of solutions. Then it can retain the solutions and learn from things that were correct and incorrect. It uses this power to also analyze data patterns or similarities and respond very quickly as 3 seconds. It also needs this much hard was to hold the massive amount of data it holds in its primary memory to support the speed of response needed. #2 How ”intelligent” is Watson? What can it do? What can’t it do? Watson has the ability to process natural language which allows it to perform many jobs requiring factual knowledge and expertise. Citibank has contracted with IBM to explore the application of deep-content analysis, natural language processing and evidence based learning that Watson has to enhance their digital banking experience. Sloan-Kettering is using Watson to develop a decision-support application for cancer treatment using data from Sloan’s clinical data base and tools for Natural language processing and complex analysis that Watson has. Although these projects are being developed it’s just the beginning of what Watson can do. It is unclear how effective it will be in the medical field where the information is available in many sources that are highly disorganized and often contradictory. #3 What kinds of problems is Watson able to solve? How useful a tool is it for knowledge? If a certain algorithm works to solve a problem, Watson remembers what type of questions it was and the algorithm it used to get the...
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