Working Up

by Dwayne Phillips A review of percent may surprise some. Sorry about that. Use this information cautiously. I recently read a contract that purported to calculate 50% of 50%. That struck me as odd, so given too much time on my hands, I thought about it a while. Warning: thinking about basic things for a […]

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by Dwayne Phillips It seems that everyone wants to say or write AI or artificial intelligence these days. Please stop misusing the term. Our Federal Trade Commission wants to regulate AI. The lack of literacy is astounding, but then again, this is the pinnacle of regulating instead of creating. The FTC, with all its good […]

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by Dwayne Phillips Stop worrying about the next technology. Do something simple that has all the functions you need. The database. Sigh. Gosh, what is next? What is the next database technology that will solve all my problems? Requirements: Enter information. Find entered information. Read entered information. Change entered information. Solution: The ASCII text file. […]

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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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