Kelsey posits that there are three ways one could respond to AI: Adapt, Adopt, or Adept with Chapter 6 of Surfing the Tsunami focusing on what Adept is all about. He writes that being adept is a "best" response to AI, where one is adept at getting directly involved with developing AI or learning how to code and/or work with related data.
He suggests that one might look for a role in an organization that could use an AI-enabled platform, giving one the experience, knowledge or skill in data science, AI or machine learning as one is learning it. I'll be honest and say that across the board, I am not nor have I ever been an "early adopter" of any technology. My brother always bought first editions of tech devices. I usually wait for all the bugs & kinks to get worked out--I am also quite frugal so spending $10,000-15,000 for a plasma TV when they first came out in the late 1990s sounded ludicrous to me, regardless how amazing the picture was touted as being!
"Elon Musk is a unique example of someone who is wary of AI but fully embraces it at the same time..." He and I have something in common! "Embrace" might not be the right word, a more apt phrase might be "senses the inevitability of AI". I did take Kelsey up on his suggestion to download some apps so I can have the tools "at the ready" whenever I decide to start to dip a toe in the coding water: Coursera, DataCamp, Khan Academy and Mimo. I like Khan's interface which has an explore section, bucketed into math, science, economics, arts & humanities, computing, test prep and life skills.
One of the articles suggested in Surfing the Tsunami is quite good, with an infographic comparing the Python and R coding languages for data analysis. It appears that Python would be the clear winner, with many more pluses in the "pros" column.
No comments:
Post a Comment