While Netflix, Google Maps, and Amazon are all exemplary models of machine learning in action in consumer contexts, DecisionNext set out to draw similar examples for the beef industry in its...

Happy New Year! What are you going to do differently in 2019? My New Year’s resolution is decidedly unambitious - I’m going to give up coffee. “Why?”, you ask. Am I trying to emulate the calm of...

Did you see the movie First Man about NASA’s mission to land a man on the moon?

When I worked for a mining company, some of the most eagerly anticipated days in the office were the release of our quarterly production reports. Not as sexy as the financial results– (or...

Innovations like plant based beef, CRISPR gene editing, and meal kit delivery models have the potential to transform the entire food value chain. Forward thinking agribusiness & food executives...

Last month, a friend and I had the chance to go to an AFC South matchup between my hometown team - the Indianapolis Colts - and the Houston Texans. After overcoming an eighteen point deficit in...

“In theory there is no difference between theory and practice. In practice there is” -Yogi Berra

Raise your hand if the following words make your head hurt with ambiguity & overuse: big data, predictive analytics, artificial intelligence, machine learning, etc, etc. 

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California has Yosemite.

Yum China turned its business around through its mobile app that drove traffic to stores.

Albertson’s just partnered with a prominent venture capital firm to start a “grocery tech” venture fund.

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