In this contributed article, Philip Miller, a Customer Success Manager for Progress, discusses the emergence of data bias in AI and what steps business leaders and IT teams can take to avoid it. Specifically, Philip discusses the ways in which data bias arises due to lackluster datasets and how human oversight paired with proper data entry can better improve your AI performance.
