The AI Adoption Gap – How We Accelerate AI Use in Enterprises
summary
The talk examines why many companies fail to scale AI from pilots to production, citing fragmented data landscapes, complex system environments, unclear strategic priorities, and cultural resistance. It outlines practical ways to overcome these barriers, describes how SAP supports transformation with an AI-first approach, and highlights which AI trends in 2026 (e.g., innovations like Claude Code, Seedance 2.0, OpenClaw) will matter for enterprise adoption.
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chapters (10)
- 0:00AI Adoption Gap intro
- 3:52Current AI capabilities
- 6:41Five reasons for gap
- 11:14Data and processes for AI
- 13:21Employee involvement in AI
- 15:49Strategic AI investment benefits
- 16:32AI Native User Experiences at SAP
- 18:16System of Context for AI agents
- 19:40Agent Management and Observability
- 20:43Summary and call to action
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