Taking the AI training wheels off: moving from PoC to production - IBM IT Infrastructure Blog

In helping dozens of organizations build on-premises AI initiatives, we have seen three fundamental stages organizations go through on their journey to enterprise-scale AI. First, individual data scientists experiment on proof of concept projects which may be promising. These PoCs then often hit knowledge, data management and infrastructure performance obstacles that keep them from proceeding to the second stage to deliver optimized and trained models quickly enough to deliver value to the organization. Moving to the third and final stage of AI adoption, where AI is integrated across multiple lines of business and requires enterprise-scale infrastructure, presents significant integration, security and support challenges. Today IBM introduced IBM PowerAI Enterprise and an on-premises AI infrastructure reference architecture to help organizations jump-start AI and deep learning projects, and to remove the obstacles to moving from experimentation to production and ultimately to enterprise-scale AI.