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1、The AI Maturity ModelEvaluating readiness for AI agentsContents 2T H E DATA B R I C KS A I M AT U R I T Y M O D E LIntroduction .3PILLAR 1 Strategy.6PILLAR 2 Governance.8Data privacy and security as a top priority.9 Unified governance.11PILLAR 3 Business Use Cases.13Leaders develop tactics to identi

2、fy and prioritize use cases.16PILLAR 4 Design and Architecture.17Building an AI architecture that has high accuracy.20PILLAR 5 Operations.21PILLAR 6 People.23Upskilling and training lead to success.26Summary.28Charting your path to AI maturity.28 The solution:the Databricks Data Intelligence Platfor

3、m.30About Databricks.31The emergence of generative AI(GenAI)has created an unprecedented opportunity for business transformation,with more organizations considering AI agents to augment and increase the productivity of their workforce.A survey by Economist Impact,commissioned by Databricks,found tha

4、t 85%of organizations actively use GenAI in at least one business function,reaching 97%among companies with revenue over$10 billion.However theres a disconnect between experimentation and value creation.While many organizations are experimenting with generative AI,few have developed the comprehensiv

5、e capabilities needed to integrate AI agents effectively into their operations and drive measurable business value at scale.This gap highlights the challenge of moving AI projects beyond proof of concept to tangible outcomes.This is why measuring and understanding AI maturity is crucial.Organization

6、s need a clear framework to assess where they stand today and chart a course toward greater AI capability.While there are numerous AI maturity models available,the Databricks AI Maturity Model provides a structured approach to integrating AI maturity as companies incorporate agentic AI and develop A