"World of DaaS" The LM Brief: How Leaders Can Close the AI Intelligence Gap
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Oct 10, 2025 Scaling AI is more about organizational maturity than technology. With less than 15% of organizations ready for this challenge, data immaturity and shadow IT are significant hurdles. Effective governance and cultural shifts are essential for success. The focus should be on AI's business impact rather than just model performance. Preparing the workforce through reskilling and nurturing human skills like creativity will be key. Ultimately, coordinated efforts across data and people determine the effectiveness of AI initiatives.
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Organization Over Tech
- Scaling AI is primarily an organizational challenge, not a technological one.
- The tech exists, but companies lack the structure to deploy it enterprise-wide.
Data Is The Hard Stop
- Data immaturity and governance gaps are the main blockers to enterprise AI.
- Using stale or siloed data yields decisions based on an outdated or incomplete reality.
Invest In Data First
- Prioritize investing in data trustworthiness and governance before increasing model complexity.
- Without traceable lineage and mature data, scaling AI will likely fail.