To improve is to change; To be perfect is to change often.
—Winston Churchill
An example I often cite to drive home AI’s importance to our careers is that of Microsoft Office. Back in the 90s, MS Office did not seem like a mandatory tool to familiarize oneself with. It became one over time. Today, you are expected to know how to use Word, PowerPoint, or Excel. That, however, does not mean that you’ve had to learn how to build these applications, only to understand what they can and cannot do and to leverage them. That is the trajectory AI is on.
Artificial intelligence (AI) started with statistical ingenuity. Similar to the organizational evolution we discussed in Part 1, evolving needs and newer challenges powered iterations ...
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