December is here! 2020 is coming to a close.
Say what you like about the state of the world, we can all agree 2020 has been A Wild Year. On the plus side, it's almost 2021!
Which clichéd phrase should be retired after this year?
1. "Unprecedented times"
2. "I hope this email finds you well"
3. "These trying times"
4. "We're all in this together"
Let us know which you picked on Twitter!
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"There is no waste in the world that equals the waste from needless, ill-directed, ineffective motions."
-Frank Bunker Gilbreth, Sr.
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Talking about robotics and automation is tricky business in manufacturing and the supply chain. Will they replace jobs? Certainly some, but more often they will create entirely new jobs and opportunities for humans to be more useful (and safer!) and do more meaningful, less repetitive work.
Reading: Don't fear the robots, and other lessons from a study of the digital economy in The New York Times.
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In spite of everything, butter is booming this year. in fact, dairy lovers are embracing products beyond milk creating new opportunities for the dairy industry - the kind of opportunities a great data science partner can help dairy producers take advantage of.
Reading: Butter is booming, whole milk and dairy is surviving in Bloomberg Business.
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We love puns, what can we say.
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Deere & Co is one of several equipment companies using AI to create opportunity and reduce waste during harvest.
Reading: AI gets down in the dirt as precision agriculture takes off in Fortune.
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If sustainability goals for large meat, fish, and dairy producers are on your agenda, the Coller FAIRR Protein Producer Index is out.
Reading: Get the full report on the FAIRR website
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Stories you might have missed from Austin Data Labs
In case you missed it, we have a great post from Dave Brown about gut feel pricing vs structure
We mentioned this one last week, but everyone was in a turkey coma. Read this brand new blog post from Sachin Reja, our newest team member. He just joined us as a Senior Data Engineer with 15 years of experience working with SAP implementations in commodity industries. Read on to find out how to complement your SAP solution with data science.
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