The Place of Management in an AI Curriculum
Academic degrees in Artificial Intelligence focus too often on Data Science per se than its transformative impact in organizations and markets.
Most academic programs specializing in Artificial Intelligence today focus on understanding data preparation, statistics, modeling, and algorithms while leaving AI’s impact on business to a footnote. This technocentric vision of Data Science may help explain both why Gartner suggests that businesses will invest $383 billion in AI this year, and why the largest majority of these AI projects will produce no real-world applications.[i]
As artificial intelligence gains a foothold in all aspects of business, what do students need to learn about Management and AI in engineering and business schools? In this three-part series*, we will examine and illustrate challenges ranging from aligning AI with corporate strategy, to developing co-intelligence between human and machine agents, to AI’s paradoxical role in innovation. In this first contribution, let’s focus on the need to understand how AI can influence strategy, the concept of “AI readiness” and AI project management.
