Interest in the possibilities afforded by algorithms and big data continues to blossom as early adopters gain benefits from AI systems that automate decisions as varied as making customer recommendations, screening job applicants, detecting fraud, and optimizing logistical routes.
No doubt optimizing logistical routes is a problem for algorithm and has been studied since, idk, mid 1920s? With the invention of linear programming? Or maybe later but much earlier than the current wave.
In contrast, certain screen job applicants is done aggressively now, no doubt but there's not evidence imo that scanning does more than reduce interviewer workload.
And product recommendations is one of those constantly talked-of and generally bullshitty applications that average person can verify the ineffectiveness of.
Which is to say, perhaps algorithms today wind-up being used because they allow the meta-corp act a blind juggernaut, that this is the primary advantage the approach has, with the secondary advantage being justifying that operation and "greater efficiency" sometimes results but is more often an excuse.
No doubt optimizing logistical routes is a problem for algorithm and has been studied since, idk, mid 1920s? With the invention of linear programming? Or maybe later but much earlier than the current wave.
In contrast, certain screen job applicants is done aggressively now, no doubt but there's not evidence imo that scanning does more than reduce interviewer workload.
And product recommendations is one of those constantly talked-of and generally bullshitty applications that average person can verify the ineffectiveness of.
Which is to say, perhaps algorithms today wind-up being used because they allow the meta-corp act a blind juggernaut, that this is the primary advantage the approach has, with the secondary advantage being justifying that operation and "greater efficiency" sometimes results but is more often an excuse.