AI Engineering: The Foundation of Successful AI Factories

Organizations often face challenges in moving AI models from pilot to production due to operational and cultural bottlenecks. According to the Gartner 2024 Analytics and AI Engineering Survey, organizations with low AI engineering utilization had, on average, 16% fewer AI models in active use within the past two years compared to those with high AI engineering utilization. AI engineering offers a structured framework to identify and address these bottlenecks enabling organizations to deploy models into production in a repeatable manner. By unifying disciplines such as DataOps, ModelOps, DevOps, LLMOps and AgentOps, AI engineering creates a coherent enterprise development and operational system for AI. Join this complimentary Gartner webinar as a Gartner expert guides you through designing a capability-focused architecture that integrates tools for continuous AI delivery and the creation of AI factories. You will walk away from this session with answers to your vital questions and recommended actions to help you achieve your goals.

Gain a comprehensive overview of AI engineering, contextualizing the various ops
Explore a composable architecture that optimizes workflows based on an integrated set of tools required to build a scalable delivery model for AI
Learn how CIOs and their teams can establish AI engineering as a repeatable cross-functional discipline