Tom So

In little more than a decade, machine learning has moved from a highly specialized technique to something that almost anyone with data and computational power can do. That is to be welcomed — yet it remains essential that the industry can navigate both the proliferation of tools and frameworks in the space and the ethical issues that are becoming

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Transitioning a career to think more about purpose is a typical evolution many people find mid-career (or at least it was for me). You could define mid-life as the transition to deeper purpose – society is clear that you should establish your mastery of something in your 20’s and 30s; it’s less clear what to do with it in your 40’s and 50’s (hence... See more

This is one of the 🤯🤯🤯 experiments we ran on the Duolingo Retention team : https://t.co/Dv9Wp377vT

High-level insight

Most companies do not operate in ways they realize their vision by continuously aligning business goals with customers' needs and pain points. Product teams need to be aligned on business objectives and be allowed to operate at an initiative level to impact those objectives.

Author describes different processes to set product team... See more

As the broader finance function continues to take on a more diverse and strategic role within organizations, the appetite to invest in software that tangibly improves process efficiency, data-driven decision-making capabilities and overall financial performance management will only continue to grow.

Is ownership shifting from an ability to demonstrate control or possession to the ability to make collective meaning?