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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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.

A natural forest is illegible. A tangle of plants. This is inconvenient from the standpoint of harvesting lumber. How do you quantify yield? Can you even make a meaningful map of this mess? Much easier to clear the forest and plant a legible “scientific” forest. Uniform rows of trees that produce good lumber. Now we can count the trees, make a map,... See more

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