Creating Trusted AI for Business
summary
Claims that enterprises need Watson X and an automated governance layer to scale AI, not just models; IBM shows a Watson X governance demo that creates model fact sheets (training data, thresholds, weights) and offers indemnification if data provenance fails. Real use cases: digital labor, customer service chatbots, IT/code ops; surprising blockers are data complexity and skills, not model accuracy. Built tools include 360 fairness labs in Kenya and South Africa and a platform approach that isolates customer data and automates compliance.
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chapters (8)
- 0:00The evolution of AI in 2024
- 1:53Key AI value use cases
- 3:35Scaling and managing AI
- 5:18Governance and ethical AI
- 6:14Enterprise versus consumer AI
- 11:28Regulatory frameworks
- 14:21Advice for business leaders
- 16:42Future potential and outlook
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