…egs the broader question of whether AI will further concentrate power among today’s digital giants. It seems likely that the incumbent tech groups will capture many of AI’s gains, given their wealth of data, computing power, smart algorithms and human talent, not to mention a head start on investing. History points to the likelihood of concentration; both databases and personal computers ushered in…
…st frenzied rush is for human talent, which is far more scarce than either data or computing power. Demand for AI “builders” who can apply machine-learning techniques to huge sets of data in creative ways has ballooned, far exceeding the number of top students who have studied the techniques.
Once submitted, these applications are screened by Applicant Tracking software that scans them for keywords. At the end of the process, ~5 resumes make it into the hands of a recruiter. That’s 2% at best.
Dynamic programming is a method where we can divide our big optimization problem (what combination of activities should I choose?) into a series of manageable decision problems (should I include this activity in my optimal solution or not?). We divide and conquer.