人工智能成熟度模型：人工智能体就绪度评估

ModelEvaluatingreadiness forAI agents Introduction.......................................................................................................................................................................3PILLAR 1Strategy.................................................................................................................................................................6PILLAR 2Governance.........................................................................................................................................................8Data privacy and security as a top priority...............................................................................................................................................9Unified governance...........................................................................................................................................................................................11PILLAR 3Business Use Cases.........................................................................................................................................13Leaders develop tactics to identify and prioritize use cases............................................................................................................16PILLAR 4Design and Architecture.................................................................................................................................17Building an AI architecture that has high accuracy.............................................................................................................................20PILLAR 5Operations..........................................................................................................................................................21PILLAR 6People..................................................................................................................................................................23Upskilling and training lead to success....................................................................................................................................................26Summary...........................................................................................................................................................................28Charting your path to AI maturity...............................................................................................................................................................28The solution: the Databricks Data Intelligence Platform....................................................................................................................30About Databricks.............................................................................................................................................................31 Contents The emergence of generative AI (GenAI) has created an unprecedented opportunity for businesstransformation, with more organizations considering AI agents to augment and increase the productivityof their workforce. A survey byEconomist Impact,commissioned by Databricks, found that 85% oforganizations actively use GenAI in at least one business function, reaching 97% among companies withrevenue over $10 billion. Introduction However there’s a disconnect between experimentation and value creation. While many organizations areexperimenting with generative AI, few have developed the comprehensive capabilities needed to integrate AIagents effectively into their operations and drive measurable business value at scale. This gap highlights thechallenge of moving AI projects beyond proof of concept to tangible outcomes. This is why measuring and understanding AI maturity is crucial. Organizations need a clear framework toassess where they stand today and chart a course toward greater AI capability. While there are numerous AImaturity models available, the Databricks AI Maturity Model provides a structured approach to integrating AImaturity as companies incorporate agentic AI and develop AI applications. Organizations can use this modelto assess their current AI capabilities, identify areas for improvement and create a strategic roadmap forsuccessfully implementing AI-driven applications and agentic AI systems. The challenge is clear: While the potential of AI is immense, the path to value requires a thoughtful, systematicapproach across multiple dimensions of organizational capability. Success with AI isn’t simply about deployingthe latest models or launching isolated experiments. It requires a holistic transformation that touches everyaspect of an organization’s operation. The Databricks AI Maturity Model provides this framework, examining sixcritical pillars that together determine an organization’s ability to create sustainable value from AI. For each pillar, organizations progress through distinct stages of maturity, from initial experimentation tofull