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5 Tools to Learn How to Learn

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3 Challenges Data Science and Shale Production Share

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Beware of the Apostrophe Ts

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Interview Someone You Love

Of course, you should also interview your colleagues (whether you love them, like them, or barely know them). And there are lots of other people in your life, I’m sure, with whom an interview would open your mind, open their heart, and open new possibilities. But let’s start with an interview — your interview of…
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Why We Must Learn the Other Montessori Method

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Long Live the New (and Improved) Corporate Org

The corporate matrix is dead. As the coronavirus crisis has set in, workflows are transitioning to asymmetric and entrepreneurial teams, especially at tech companies. Many organizations elsewhere have failed to get rid of the corporate matrix. The matrix creates dual reporting relationships for a single employee — one functional, one product-oriented.
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9 Decision Biases & How to Control Them

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Why You Must Prioritize a Quick No

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What Is Your Mindset?

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Bad Data Leaves Money on the AI-Enabled Factory Floor

Opportunity & Unrealized Potential. Manufacturing industries are failing to capitalize on the tremendous potential of artificial intelligence and machine learning. While some may blame the limits of technology, a dearth of data science talent, or the resistance of workers rooted in inertia, the root cause of the friction is a lack of data integrity.