Maturing AI Adoption: From Chaos to Consistency

While artificial intelligence (AI) investments, optimism, and accessibility are rising, evidence suggests that few organizations are realizing returns on their generative AI investments, scaling AI at an enterprise level, or embedding the technology into core business strategy to maximize value. In the latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Dr. Ipek Ozkaya, technical director of AI-Native Software Engineering, and Matthew Butkovic, technical director of Risk and Resilience in the SEI's CERT Division, discuss their work on an AI Adoption Maturity Model that organizations can use to create a roadmap for predictable AI adoption and realization of AI benefits.