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As AI moves from experimentation to real-world deployments, enterprises are determining best practices for what actually works at scale.

Multiple studies from various vendors have outlined the core challenges. According to a recent report from Vellum, only 25% of organizations have deployed AI in production with even fewer recognizing measurable impact. A report from Deloitte found similar challenges with organizations struggling with issues of scalability and risk management. A new study from Accenture, out this week, provides a data-driven analysis of how leading companies are successfully implementing AI across their enterprises. The “Front-Runners’ Guide to Scaling AI” report is based on a survey of 2,000 C-suite and data science executives from nearly 2,000 global companies with revenues exceeding $1 billion. The findings reveal a significant gap between AI aspirations and execution.