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GENERATION: RE – The Official Nomination

Every generation is given a name – some more accurate than others. Consider this my nomination for the official name of the emerging generation (those born in 2000 to today): Generation:RE “What’s in a name?” mused Shakespeare. Demographers create generational groupings to examine economic trends and social changes over time. These groupings take on names, some…
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Two Pillars for Effective Remote Work: Asynchronous Clarity & Visible Value

We are ten months into this everlong 2020. One hundred and thirty years ago, a German playwright first coined the phrase “Spring Awakening” as the title of his breakthrough play, first performed in 1891. It’s a phrase that comes to mind. It’s lingered in mine since March. This fall, our world is still awakening from…
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3 Challenges Data Science and Shale Production Share

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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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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.
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What I’ve learned about scaling a Platform company

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Future of Jobs

