
Many organizations striving to bring GenAI into production struggle with issues such as data readiness, infrastructure bottlenecks, and insufficient governance. According to the Deloitte State of Enterprise survey, 68% of organizations reported moving 30% or fewer of their GenAI experiments into production.
Part 2 of this 2-part report explores the challenges across all three phases introduced in the earlier paper and offers best practices, insights, and potential solutions for each phase. If you missed part 1, click here.
