Why Enterprises Struggle to Adopt AI | Corporate AI Challenges
summary
Enterprises struggle because implementation details break theory: mobile agents like Google Gemini and WhatsApp chat features leak context, corporate deployments of Microsoft Copilot face role-based access gaps, and only ~8–10% of companies have enforceable AI policies. Examples include an AI claiming only 5% of staff write well, an LLM dataset (DeepSix example) exposed via HTTP, and rogue agents consuming hundreds of dollars in minutes or draining a $500k pipeline. Standards cited: NIST, ISO, OECD, OWASP.
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chapters (6)
- 0:00AI adoption challenges
- 3:53Corporate risks of AI
- 7:23Public sector data security
- 10:20AI governance frameworks
- 14:59AI policy gaps
- 18:35Q&A
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