
Michael Watson
@MichaelWatsonAI
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Practical AI- machine learning and optimization. Operations excellence and supply chain.
Chicago, IL
Joined December 2020
Here's my write up of some of the operations excellence ideas in the book.
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In the popular media, Musk is branded a “tech” guy. In reality, he knows how to make things efficiently. If you teach or are interested in operations management, I found Isaacson's book full of great stories and lessons.
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Many books about successful people don't stress the role of stamina. Isaacson's Elon Musk book is an exception. It is filled with examples of his stamina. It is a good data point to back up @robinhanson's observation on its importance.
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ChatGPT is red-hot. Here are the three things people get wrong about AI:. One, they assume AI means super-human intelligence. Two, they don’t realize AI refers to many different things. Three, they forget lessons from economics. Here 's more:
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I saw some tweets about web3 builders "discovering" AI. The enthusiasm of @thesamparr and @ShaanVP on their recent "AI Gold Rush" episode made me think that we are entering the third wave of AI. Here is the blog for more:
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Great contrarian post from Pete. He manages to reference @JFPuget, @mluebbecke, Winston Churchill, and the Moneyball movie. Blood, Sweat, and Tears
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I wrote this for my daughter and her friends. If you have someone who might like this, please feel free to share. Or, if you have ideas on how to make it better, please let me know.
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My five AI lessons from the @lexfridman interview of @elonmusk. 1. Should I be less skeptical of self-driving cars?.2. AI projects need big teams.3. Speed matters.4. Variability matters.5. Deep learning is eating software.
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I think there is a lot of confusion around how people use the term "AI." I've found categorizing AI as two definitions helps. Both types of AI are interesting and evolving fast.
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RT @TDataScience: 3 Reasons Why Optimization Should Be Included in Every Data Science Graduate Program by Lindsay Montanari .
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Trying to do my small part to speed up the pace of vaccinations. The world of manufacturing has been studying how to get more throughput for decades. There are many ideas that we could borrow from there to help get shots in arms faster. Spread the word.
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As of January 10 in the US, there have been 22 million doses distributed and 8 million injected. And, the US is doing better than most.
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The pressure is mounting to increase the pace of vaccinations. Here is an article with some data on the pace and six ideas for increasing the pace.
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Bloomberg is tracking the number of covid-19 vaccine doses administered (shots in arms). It is good that the vaccine is being used.
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Two New Data Points We Need to Increase the Pressure to Vaccinate as Fast as Possible.
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By: Michael Watson and Larry Wyche We all know that the human toll of the pandemic is heavy. Shaving months off its duration would be a historic accomplishment and a big benefit to humanity.
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Six Tips for Better Throughput at Mass Vaccination Sites – From Someone Who Has Done It.
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The race is now on to use the approved vaccine. There are many important steps to get the vaccine from the factories to patients.
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Five Tips for Running an Efficient Mass Vaccination Site.
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Once the vaccines get approval and get through the supply chain to the local communities, we’ll still have the challenge of giving billions of shots to people worldwide. To quickly give those...
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