#ai-expertise

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Artificial intelligence
fromTechzine Global
3 weeks ago

86% of IT decision-makers believe AI agents will add more problems than value

Enterprise AI adoption is increasing but fragmentation, outdated infrastructure, data silos, and insufficient expertise create complexity and governance risks.
fromMedium
2 months ago

The AI era needs Sigma () shaped designers (Not T or )

The Σ-shape defines the new standard for AI expertise: not deep skills, but deep synthesis. This integrator manages the sum of complex systems (Σ) by orchestrating the continuous, iterative feedback loops (σ), ensuring system outputs align with product outcomes and ethical constraints. (Image source: Yeo) For years, design and tech teams have relied on shape metaphors to describe expertise. We had T-shaped people (one deep skill, broad awareness). Then M-shaped people (multiple hybrid disciplines).
Artificial intelligence
fromLondon Business News | Londonlovesbusiness.com
7 months ago

Businesses under pressure: Research highlights leadership skills deficit in C-Suite - London Business News | Londonlovesbusiness.com

Transformation of C-Suite capabilities is urgently required, with companies fundamentally unprepared for future uncertainties, particularly regarding leadership skills and digital expertise. 79% emphasize digital skills.
Business
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