3 Examples of successful hybrid data science in the global food supply chain
We agree with Gary Marcus that deep learning alone is not the answer to your supply chain problems. That’s one reason we make sure our
We agree with Gary Marcus that deep learning alone is not the answer to your supply chain problems. That’s one reason we make sure our
Recently, I was doing a deep dive on Gartner’s framework for software applications in PACE Layered Architecture. It breaks down software applications in use at
In the world of agricultural commodity processing, understanding the relative value of product streams is crucial to getting the most out of your production assets.
As a manager you can break up your planning horizons into time frames as broad or narrow as you see fit. Often, these horizons are
Master data may be the least exciting topic of all time, so you might wonder why I would put pen to paper to talk about
Over the last year a story about labor has emerged in production supply chain companies. There appears to be a major shortage of labor: not
co-author Celso Batista It’s safe to say that most of us have built a quick and dirty spreadsheet in our careers that then morphs into
Food supply chain managers know that companies have limited capital to invest in their future. In spite of this, the list of potential projects looms,
How do you improve, optimize, and stabilize your dairy supply chain in a time of increasing volatility? With data science. Our industry experts and data
You know the only thing that’s constant in agriculture is change. Milk, cattle, and many other agricultural products vary in composition, quality, and size throughout
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