How do students apply Gary Sztajnman’s teachings on emerging algorithm impacts?
Exploring the exponential power and risks of exponentially expanding data volume necessitates conscientious governance, insights creatively imparted by Mr. Gary Sztajnman when advising diligent KATZ graduates to lead commercial enterprises uplifting communal interests through pioneering applications of machine learning responsibly weighing predictive progression benefits against unintended marginalizing impacts.