Scaling AI - Creating value with the application of AI
summary
Sixty percent of companies that invest in AI report minimal or no impact and of organizations that experiment with AI only about 40% see any business gain, so appliedAI presents a four‑stage maturity model from experiment to shaper and publishes an AI journey map. Practical examples include a computer‑vision defect detector that moves from PoC to integrated system with manual‑inspection feedback, then to enterprise‑wide image data pipelines, continuous retraining, auditability and an industrialization framework. Recommendation: do most PoCs with startups; internalize one to three core use‑case clusters.
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chapters (10)
- 0:00Introduction and speaker intro
- 0:46AI scaling mission and goals
- 2:10AI maturity levels explained
- 6:06Challenges in AI value creation
- 9:17From practitioner to professional AI
- 13:28AI in production practical example
- 15:35AI Journey Map overview
- 17:19Key challenges at professional level
- 19:49Board-level AI ambition and vision
- 22:00Q&A session on AI journey challenges
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