HeyJaredSamuel Greengard
- Indexed articles, last 90 days
- 2
- Latest publication
- Sep 25, 2026
- Outlet visibility, for InformationWeek
- Top 5M sites
- Earliest in this view
- Aug 4, 2026
Latest articles
AI governance lags behind deployment. CIOs need to fix that (opens the original)
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Whether CIOs like it or not, AI is becoming pervasive in the enterprise. They must build the controls to avoid unintended consequences. The era of CIOs deploying AI is over. Today, AI capabilities arrive in rapid succession. Some come from frontier and open-weight model providers; others are baked into enterprise software tools and platforms. This pervasiveness can change how people and systems work, and introduce testing, validation and security challenges. It paves the way for shadow AI and in
How CIOs can conquer AI model churn (opens the original)
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With frontier AI models appearing and disappearing within weeks, CIOs need a framework for managing new releases, deprecations and changes. Amid rapid-fire AI model releases, daily deprecations, geopolitical uncertainty, token costs, compliance risks and uneven vendor service guarantees, CIOs are confronting a new and sometimes disturbing reality: AI model churn has become an operational problem, not just a technical one. Validating AI models — and ensuring that they work with existing systems —
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Top 5M sites
For InformationWeek, the outlet · Measured Aug 1, 2026
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