How Companies Should Think About Compensation Users for Private Data
As data-hungry technologies are getting more and more efficient, Professor Ali Makhdoumi says the key question is how to incentivize data-sharing while protecting users’ privacy.
Improving operations, mitigating risk, forecasting revenue, generating insight, increasing productivity—all now involve understanding emerging applications in data science, AI and machine learning. While data analytics has become a core discipline for the practice of business, its role within different functions and influence on different industries continues to evolve.
Consider this your front row seat to the action.
Here you’ll find research and insights from Fuqua faculty who deeply study AI, machine learning, and how to apply analytics to real business problems—partnering with some of the biggest names in tech. You’ll also learn from Fuqua leaders using data analytics to innovate at their companies now, who share approaches to navigating these issues across a diverse range of industries and functions.