AI holds the potential to deliver significant benefits for economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, failure to implement an AI enterprise-wide strategy and roadmap can impede faster technology deployment. Therefore, it is important to analyze organizations’ readiness or maturity as it relates to technology deployment.

Frost & Sullivan has developed a 4-stage AI maturity framework that considers AI strategy and roadmap articulation; data readiness; regulatory compliance and policy alignment; and stage of technology and deployment. To assess AI maturity, Frost & Sullivan conducted a global survey with close to 700 organizations (i.e., IT and business decision-makers responsible for AI purchases) and analyzed their maturity levels. The results provide a glimpse of the following: overall maturity of AI adoption amongst organizations, maturity of AI adoption by industry verticals, and insights on the stages of AI maturity adoption. It also offers technology vendors and service providers a perspective on AI readiness with regard to select parameters to assess potential opportunities that will create customer value and help end users understand the level of maturity in the overall landscape.

Author: Hemangi Sunil Patel