Articles

  • Apr 20, 2024 | hackernoon.com | Cory Hymel

    Five years ago, Frank Chen posed a question that has stuck with me every day since. The question was this, “If self-driving cars are 51% safer, are we not morally obligated to adopt them?”. I’ve posed this question a ton of times over the past five years, and usually, a knee-jerk reaction leads to an interesting debate. What makes this question so great is the knife's edge – it’s not 99% safer, it’s not 70% safer, it’s only 51% safer. To put it into context.

  • Jan 22, 2024 | spiceworks.com | Cory Hymel

    Cory Hymel, VP at Gigster, sheds light on the critical role of AI-driven data metrics in measuring and enhancing engineering team performance for greater adaptability and success in 2024. Until recently, business leaders had a surprisingly low understanding of what their engineering teams were doing and how tech resources were spent. With the changing demands for tech organizations in 2024, leaders no longer accept the engineering black hole.

  • Dec 6, 2023 | entrepreneur.com | Cory Hymel

    Not long ago, I was asked by a research partner and friend to guest speak at his Stanford MBA class on "People Analytics," which explores how social networks interact and how data can be used to understand them. The lesson I took away from this experience has stayed with me through every presentation I have made since. The focus of my lecture was on how to make analytics-based solutions for organizational/team coordination purposes commercially viable.

  • Dec 6, 2023 | flipboard.com | Cory Hymel

    Shopping6 hours ago27 of the best online MIT courses you can take for freeMashable - Joseph Green • 6hPursue your passion with the best platform for free online courses. TL;DR: A wide range online courses from MIT are available to take for free on edX. edX is a popular online learning platform offering access to a wide range of courses on just about every topic you can imagine.

  • Jun 8, 2023 | entrepreneur.com | Cory Hymel

    Distributed team management is increasingly relying on data-driven decision-making, automation and much more granular performance tracking. What will be the eventual result of this trend in the future of work? Will employees be treated as replaceable numbers as their every waking moment is monitored? Or will the ability to track and quantify more soft skills allow for a more fair and objective way to recognize and develop global talent?

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