Working Up

by Dwayne Phillips Data, data, data. Enough already. Just tell me something I don’t know. Data is the new oil. Data is the new bacon. Data will fuel the economies of the future. Data will determine the winner of the next world war. Data, data, data. I work with data. On some days, some folks […]

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by Dwayne Phillips These inconvenient facts seem to be everywhere. They are inconvenient, however, only when we have a story to tell that denies reality. There are some old sayings like, “opinions being mugged by facts,” and “don’t confuse my opinion with facts,” and “there is nothing like facts getting in the way of my […]

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by Dwayne Phillips Measuring small things is much more difficult than measuring large things. We do it anyways and report the results with great confidence. Woe is us. It is more difficult to measure small things that it is to measure large things. Consider measuring the diameter of a sphere. We can use a device […]

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by Dwayne Phillips We have more data today. Really? I don’t think so. We do have more places to put data, so we need to put something there. Right? I don’t know how many times I have read about all the new data we have today. The amount of data we have is BIG. The […]

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by Dwayne Phillips Big data? What we usually do is automate work on data that is too big to work manually. I used to work on a project where the project leader would tell people, “We work big data.” I was frequently asked (later after the project leader left the room), “What is big data?” […]

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by Dwayne Phillips Data seems to be opposite of everything else when it comes to saving it, using it, and producing value. When we use things, they lose value. Drive a car a thousand miles and its loses value, i.e., no one will pay as much for a car with 1,000 miles as they will […]

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by Dwayne Phillips Many of today’s data scientists are similar to man of the web designers of the 1990s. I think this is a good thing. A recent conversation with a colleague helped me to realized something about data science in today’s world. I thought data scientists were computer scientists, engineers, and mathematicians who knew […]

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by Dwayne Phillips Sometimes we “know where everything is” despite outward appearances. Sometimes we have “a place for everything and everything in its place.” Sometimes both ideas work. Sometimes neither work. Data is everywhere. Data is the new oil or bacon or pizza or something good or bad. The trouble with data is if I […]

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by Dwayne Phillips Lest we forget, we have always had more data than we could process. For some reason, we are now recording it with magnetism. I just read yet another article telling me that “data is everywhere.” Then there are the usual numbers of peta-peta-something-or-other bytes of data every second or so. Cries follow […]

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by Dwayne Phillips Linear Regression is an old, basic technique to predict the future given the past. It seems that its utility has been forgotten by many. How did we get here? Why didn’t anyone see this coming? These are a couple questions I heard recently when groups of persons gathered to discuss … well, […]

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