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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
Like shale production, data science is challenged by extracting, refining, and controlling the input that makes it productive. If data is the new oil, it’s a lot more like shale than fresh crude.
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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
I can tell you one thing for sure — I have made lots of mistakes. Lots and lots of them. And that’s where the fun really happens — as an entrepreneur, the fun is trying to figure out which moves are mistakes, and which are logical and rational steps towards something valuable and important.
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Why You Must Prioritize a Quick No
No. That’s right, “no.” And quickly. Ok — I know I’m in Jeopardy format. So, the question is this: “What’s the next best thing to a quick yes?” A quick “no” is not easy, but it’s necessary. To be impactful and purposeful with collaborators, prioritizing a quick “no” is the next best thing to a…
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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
This month, Uptake signed the 20th partner in our Platform ecosystem. These collaborators range from companies that maintain some of our country’s largest manufacturing plants to providers of edge devices for our leading utilities.
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Future of Jobs
Charles Darwin would have a lot to say about how humans will adapt to this Fourth Industrial Revolution. For one, I believe he’d tell us that we’ll evolve.
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Best Advice: Change the Game
When Jeopardy! producers told Arthur Chu he’d been selected as a contestant, he knew he wasn’t ready. But instead of giving in to eventual defeat, Chu hunkered down and began scouring the game show’s forums, watching — and rewatching — classic episodes on YouTube and even turning to IBM’s Jeopardy! contestant, the computer Watson, for…