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ITL Focus: AI & Machine Learning

This Month's Focus Topic 

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When I think of the potential for artificial intelligence, I hark back to my days at the Wall Street Journal, taking notes in my home-brewed shorthand in one of those long, skinny notebooks you may have seen reporters carrying around in their suitcoat pockets.

I still break out in a sweat when I recall interviewing the president of Mexico in the mid-'90s, in Spanish. I only knew how to take notes in English, so I had to translate on the fly, while still thinking about my line of questioning—and concentrating furiously so I would quote him so accurately that I wouldn't cause an international incident. 
While AI would have been zero help back then, today it's remarkable. I just record an interview on my phone, and AI transcribes the conservation in real time with remarkable accuracy.

If you want to think about where AI can go from here, you can look back 25-plus years and see that the difference between then and now is, well, like magic, and then start to think about 10, 15 or 25 years from now.

 

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